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  • Jonathan Beller — The Computational Unconscious

    Jonathan Beller — The Computational Unconscious

    Jonathan Beller

    God made the sun so that animals could learn arithmetic – without the succession of days and nights, one supposes, we should not have thought of numbers. The sight of day and night, months and years, has created knowledge of number, and given us the conception of time, and hence came philosophy. This is the greatest boon we owe to sight.
    – Plato, Timaeus

    The term “computational capital” understands the rise of capitalism as the first digital culture with universalizing aspirations and capabilities, and recognizes contemporary culture, bound as it is to electronic digital computing, as something like Digital Culture 2.0. Rather than seeing this shift from Digital Culture 1.0 to Digital Culture 2.0 strictly as a break, we might consider it as one result of an overall intensification in the practices of quantification. Capitalism, says Nick Dyer-Witheford (2012), was already a digital computer and shifts in the quantity of quantities lead to shifts in qualities. If capitalism was a digital computer from the get-go, then “the invisible hand”—as the non-subjective, social summation of the individualized practices of the pursuit of private (quantitative) gain thought to result in (often unknown and unintended) public good within capitalism—is an early, if incomplete, expression of the computational unconscious. With the broadening and deepening of the imperative toward quantification and rational calculus posited then presupposed during the early modern period by the expansionist program of Capital, the process of the assignation of a number to all qualitative variables—that is, the thinking in numbers (discernible in the commodity-form itself, whereby every use-value was also an encoded as an exchange-value)—entered into our machines and our minds. This penetration of the digital, rendering early on the brutal and precise calculus of the dimensions of cargo-holds in slave ships and the sparse economic accounts of ship ledgers of the Middle Passage, double entry bookkeeping, the rationalization of production and wages in the assembly line, and more recently, cameras and modern computing, leaves no stone unturned. Today, as could be well known from everyday observation if not necessarily from media theory, computational calculus arguably underpins nearly all productive activity and, particularly significant for this argument, those activities that together constitute the command-control apparatus of the world system and which stretch from writing to image-making and, therefore, to thought.[1] The contention here is not simply that capitalism is on a continuum with modern computation, but rather that computation, though characteristic of certain forms of thought, is also the unthought of modern thought. The content indifferent calculus of computational capital ordains the material-symbolic and the psycho-social even in the absence of a conscious, subjective awareness of its operations. As the domain of the unthought that organizes thought, the computational unconscious is structured like a language, a computer language that is also and inexorably an economic calculus.

    The computational unconscious allows us to propose that much contemporary consciousness (aka “virtuosity” in post-Fordist parlance) is a computational effect—in short, a form of artificial intelligence. A large part of what “we” are has been conscripted, as thought and other allied metabolic processes are functionalized in the service of the iron clad movements of code. While “iron clad” is now a metaphor and “code” is less the factory code and more computer code, understanding that the logic of industrial machinery and the bureaucratic structures of the corporation and the state have been abstracted and absorbed by discrete state machines to the point where in some quarters “code is law” will allow us to pursue the surprising corollary that all the structural inequalities endemic to capitalist production—categories that often appear under variants of the analog signs of race, class, gender, sexuality, nation, etc., are also deposited and thus operationally disappeared into our machines.

    Put simply, and, in deference to contemporary attention spans, too soon, our machines are racial formations. They are also technologies of gender and sexuality.[2] Computational capital is thus also racial capitalism, the longue durée digitization of racialization and, not in any way incidentally, of regimes of gender and sexuality. In other words inequality and structural violence inherent in capitalism also inhere in the logistics of computation and consequently in the real-time organization of semiosis, which is to say, our practices and our thought. The servility of consciousness, remunerated or not, aware of its underlying operating system or not, is organized in relation not just to sociality understood as interpersonal interaction, but to digital logics of capitalization and machine-technics. For this reason, the political analysis of postmodern and, indeed, posthuman inequality must examine the materiality of the computational unconscious. That, at least, is the hypothesis, for if it is the function of computers to automate thinking, and if dominant thought is the thought of domination, then what exactly has been automated?

    Already in the 1850s the worker appeared to Marx as a “conscious organ” in the “vast automaton” of the industrial machine, and by the time he wrote the first volume of Capital Marx was able to comment on the worker’s new labor of “watching the machine with his eyes and correcting its mistakes with his hands” (Marx 1867: 496, 502). Marx’s prescient observation with respect to the emergent role of visuality in capitalist production, along with his understanding that the operation of industrial machinery posits and presupposes the operation of other industrial machinery, suggests what was already implicit if not fully generalized in the analysis: that Dr. Ure’s notion, cited by Marx, of the machine as a “vast automaton,” was scalable—smaller machines, larger machines, entire factories could be thus conceived, and with the increasing scale and ubiquity of industrial machines, the notion could well describe the industrial complex as a whole. Historically considered, “watching the machine with his eyes and correcting the mistakes with his hands” thus appears as an early description of what information workers such as you and I do on our screens. To extrapolate: distributed computation and its integration with industrial process and the totality of social processes suggest that not only has society as a whole become a vast automaton profiting from the metabolism of its conscious organs, but further that the confrontation or interface with the machine at the local level (“where we are”) is an isolated and phenomenal experience that is not equivalent to the perspective of the automaton or, under capitalism, that of Capital. Given that here, while we might still be speaking about intelligence, we are not necessarily speaking about subjects in the strict sense, we might replace Althusser’s relation of S-s—Big Subject (God, the State, etc) to small subject (“you” who are interpellated with and in ideology)—with AI-ai— Big Artificial Intelligence (the world system as organized by computational capital) and “you” Little Artificial Intelligence (as organized by the same). Here subjugation is not necessarily intersubjective, and does not require recognition. The AI does not speak your language even if it is your operating system. With this in mind we may at once understand that the space-time regimes of subjectivity (point-perspective, linear time, realism, individuality, discourse function, etc.) that once were part of the digital armature of “the human,” have been profitably shattered, and that the fragments have been multiplied and redeployed under the requisites of new management. We might wager that these outmoded templates or protocols may still  also meaningfully refer to a register of meaning and conceptualization that can take the measure of historical change, if only for some kind of species remainder whose value is simultaneously immeasurable, unknown and hanging in the balance.

    Ironically perhaps, given the progress narratives attached to technical advances and the attendant advances in capital accumulation, Marx’s hypothesis in Capital Chapter 15, “Machinery and Large-Scale Industry,” that “it would be possible to write a whole history of the inventions made since 1830 for the purpose of providing capital with weapons against working class revolt” (1867, 563), casts an interesting light on the history of computing and its creation-imposition of new protocols. Not only have the incredible innovations of workers been abstracted and absorbed by machinery, but so also have their myriad antagonisms toward capitalist domination. Machinic perfection meant the imposition of continuity and the removal of “the hand of man” by fixed capital, in other words, both the absorption of know-how and the foreclosure of forms of disruption via automation (Marx 1867, 502).

    Dialectically understood, subjectivity, while a force of subjugation in some respects, also had its own arsenal of anti-capitalist sensibilities. As a way of talking about non-conformity, anti-sociality and the high price of conformity and its discontents, the unconscious still has its uses, despite its unavoidable and perhaps nostalgic invocation of a future that has itself been foreclosed. The conscious organ does not entirely grasp the cybernetic organism of which it is a part; nor does it fully grasp the rationale of its subjugation. If the unconscious was machinic, it is now computational, and if it is computational it is also locked in a struggle with capitalism. If what underlies perceptual and cognitive experience is the automaton, the vast AI, what I will be referring to as The Computer, which is the totalizing integration of global practice through informatic processes, then from the standpoint of production we constitute its unconscious. However, as we are ourselves unaware of our own constitution, the Unconscious of producers is their/our specific relation to what Paolo Virno acerbically calls, in what can only be a lamentation of history’s perverse irony, “the communism of capital” (2004, 110). If the revolution killed its father (Marx) and married its mother (Capitalism), it may be worth considering the revolutionary prospects of an analysis of this unconscious.

    Introduction: The Computational Unconscious

    Beginning with the insight that the rise of capitalism marks the onset of the first universalizing digital culture, this essay, and the book of which it is chapter one, develops the insights of The Cinematic Mode of Production (Beller 2006) in an effort to render the violent digital subsumption by computational racial capital that the (former) “humans” and their (excluded) ilk are collectively undergoing in a manner generative of sites of counter-power—of, let me just say it without explaining it, derivatives of counter-power, or, Derivative Communism. To this end, the following section offers a reformulation of Marx’s formula for capital, Money-Commodity-Money’ (M-C-M’), that accounts for distributed production in the social factory, and by doing so hopes to direct attention to zones where capitalist valorization might be prevented or refused. Prevented or refused not only to break a system which itself functions by breaking the bonds of solidarity and mutual trust that formerly were among the conditions that made a life worth living, but also to posit the redistribution of our own power towards ends that for me are still best described by the word communist (or perhaps meta-communist but that too is for another time). This thinking, political in intention, speculative in execution and concrete in its engagement, also proposes a revaluation of the aesthetic as an interface that sensualizes information. As such, the aesthetic is both programmed, and programming—a privileged site (and indeed mode) of confrontation in the digital apartheid of the contemporary.

    Along these lines, and similar to the analysis pursued in The Cinematic Mode of Production, I endeavor to de-fetishize a platform—computation itself—one that can only be properly understood when grasped as a means of production embedded in the bios. While computation is often thought of as being the thing accomplished by hardware churning through a program (the programmatic quantum movements of a discrete state machine), it is important to recognize that the universal Turing machine was (and remains) media indifferent only in theory and is thus justly conceived of as an abstract machine in the realm of ideas and indeed of the ruling ideas. However, it is an abstract machine that, like all abstractions, evolves out of concrete circumstances and practices; which is to say that the universal Turing Machine is itself an abstraction subject to historical-materialist critique. Furthermore, Turing Machines iterate themselves on the living, on life, reorganizing its practices. One might situate the emergence and function of the universal Turing machine as perhaps among the most important abstract machines in the last century, save perhaps that of capital itself. However, both their ranking and even their separability is here what we seek to put into question.

    Without a doubt, the computational process, like the capitalist process, has a corrosive effect on ontological precepts, accomplishing a far-reaching liquidation of tradition that includes metaphysical assumptions regarding the character of essence, being, authenticity and presence. And without a doubt, computation has been built even as it has been discovered. The paradigm of computation marks an inflection point in human history that reaches along temporal and spatial axes: both into the future and back into the past, out to the cosmos and into the sub-atomic. At any known scale, from plank time (10^-44 seconds) to yottaseconds (10^24 seconds), and from 10^-35 to 10^27 meters, computation, conceptualization and sense-making (sensation) have become inseparable. Computation is part of the historicity of the senses. Just ask that baby using an iPad.

    The slight displacement of the ontology of computation implicit in saying that it has been built as much as discovered (that computation has a history even if it now puts history itself at risk) allows us to glimpse, if only from what Laura Mulvey calls “the half-light of the imaginary” (1975, 7)—the general antagonism is feminized when the apparatus of capitalization has overcome the symbolic—that computation is not, so far as we can know, the way of the universe per se, but rather the way of the universe as it has become intelligible to us vis-à-vis our machines. The understanding, from a standpoint recognized as science, that computation has fully colonized the knowable cosmos (and is indeed one with knowing) is a humbling insight, significant in that it allows us to propose that seeing the universe as computation, as, in short, simulable, if not itself a simulation (the computational effect of an informatic universe), may be no more than the old anthropocentrism now automated by apparatuses. We see what we can see with the senses we have—autopoesis. The universe as it appears to us is figured by—that is, it is a figuration of—computation. That’s what our computers tell us. We build machines that discern that the universe functions in accord with their self-same logic. The recursivity effects the God trick.

    Parametrically translating this account of cosmic emergence into the domain of history, reveals a disturbing allegiance of computational consciousness organized by the computational unconscious, to what Silvia Federici calls the system of global apartheid. Historicizing computational emergence pits its colonial logic directly against what Fred Moten and Stefano Harney identify as “the general antagonism” (2013, 10) (itself the reparative antithesis, or better perhaps the reverse subsumption of the general intellect as subsumed by capital). The procedural universalization of computation is a cosmology that attributes and indeed enforces a sovereignty tantamount to divinity and externalities be damned. Dissident, fugitive planning and black study – a studied refusal of optimization, a refusal of computational colonialism — may offer a way out of the current geo-(post-)political and its computational orthodoxy.

    Computational Idolatry and Multiversality

    In the new idolatry cathetcted to inexorable computational emergence, the universe is itself currently imagined as a computer. Here’s the seductive sound of the current theology from a conference sponsored by the sovereign state of NYU:

    As computers become progressively faster and more powerful, they’ve gained the impressive capacity to simulate increasingly realistic environments. Which raises a question familiar to aficionados of The Matrix—might life and the world as we know it be a simulation on a super advanced computer? “Digital physicists” have developed this idea well beyond the sci-fi possibilities, suggesting a new scientific paradigm in which computation is not just a tool for approximating reality but is also the basis of reality itself. In place of elementary particles, think bits; in place of fundamental laws of physics, think computer algorithms. (Scientific American 2011)

    Science fiction, in the form of “the Matrix,” is here used to figure a “reality” organized by simulation, but then this reality is quickly dismissed as something science has moved well beyond. However, it would not be illogical here to propose that “reality” is itself a science fiction—a fiction whose current author is no longer the novel or Hollywood but science. It is in a way no surprise that, consistent with “digital physics,” MIT physicist, Max Tegmark, claims that consciousness is a state of matter: Consciousness as a phenomenon of information storage and retrieval, is a property of matter described by the term “computronium.” Humans represent a rather low level of complexity. In the neo-Hegelian narrative in which the philosopher—scientist reveals the working out of world—or, rather, cosmic—spirit, one might say that it is as science fiction—one of the persistent fictions licensed by science—that “reality itself” exists at all. We should emphasize that the trouble here is not so much with “reality,” the trouble here is with “itself.” To the extent that we recognize that poesis (making) has been extended to our machines and it is through our machines that we think and perceive, we may recognize that reality is itself a product of their operations. The world begins to look very much like the tools we use to perceive it to the point that Reality itself is thus a simulation, as are we—a conclusion that concurs with the notion of a computational universe, but that seems to (conveniently) elide the immediate (colonial) history of its emergence. The emergence of the tools of perception is taken as universal, or, in the language of a quantum astrophysics that posits four levels of multiverses: multiversal. In brief, the total enclosure by computation of observer and observed is either reality itself becoming self-aware, or tautological, waxing ideological, liquidating as it does historical agency by means of the suddenly a priori stochastic processes of cosmic automation.

    Well! If total cosmic automation, then no mistakes, so we may as well take our time-bound chances and wager on fugitive negation in the precise form of a rejection of informatic totalitarianism. Let us sound the sedimented dead labor inherent in the world-system, its emergent computational armature and its iconic self-representations. Let us not forget that those machines are made out of embodied participation in capitalist digitization, no matter how disappeared those bodies may now seem. Marx says, “Consciousness is… from the very beginning a social product and remains so for as long as men exist at all” (Tucker 1978, 178). The inescapable sociality and historicity of knowledge, in short, its political ontology, follows from this—at least so long as humans “exist at all.”

    The notion of a computational cosmos, though not universally or even widely consented to by scientific consciousness, suggests that we respire in an aporiatic space—in the null set (itself a sign) found precisely at the intersection of a conclusion reached by Gödel in mathematics (Hofstadter 1979)—that there is no sufficiently powerful logical system that is internally closed such that logical statements cannot be formulated that can neither be proved nor disproved—and a different conclusion reached by Maturana and Varela (1992), and also Niklas Luhmann (1989), that a system’s self-knowing, its autopoesis, knows no outside; it can know only in its own terms and thus knows only itself. In Gödel’s view, systems are ineluctably open, there is no closure, complete self-knowledge is impossible and thus there is always an outside or a beyond, while in the latter group’s view, our philosophy, our politics and apparently our fate is wedded to a system that can know no outside since it may only render an outside in its own terms, unless, or perhaps, even if/as that encounter is catastrophic.

    Let’s observe the following: 1) there must be an outside or a beyond (Gödel); 2) we cannot know it (Maturana and Varela); 3) and yet…. In short, we don’t know ourselves and all we know is ourselves. One way out of this aporia is to say that we cannot know the outside and remain what we are. Enter history: Multiversal Cosmic Knoweldge, circa 2017, despite its awesome power, turns out to be pretty local. If we embrace the two admittedly humbling insights regarding epistemic limits—on the one hand, that even at the limits of computationally—informed knowledge (our autopoesis) all we can know is ourselves, along with Gödel’s insight that any “ourselves” whatsoever that is identified with what we can know is systemically excluded from being All—then it as axiomatic that nothing (in all valences of that term) fully escapes computation—for us. Nothing is excluded from what we can know except that which is beyond the horizon of our knowledge, which for us is precisely nothing. This is tantamount to saying that rational epistemology is no longer fully separable from the history of computing—at least for any us who are, willingly or not, participant in contemporary abstraction. I am going to skip a rather lengthy digression about fugitive nothing as precisely that bivalent point of inflection that escapes the computational models of consciousness and the cosmos, and just offer its conclusion as the next step in my discussion: We may think we think—algorithmically, computationally, autonomously, or howsoever—but the historically materialized digital infrastructure of the socius thinks in and through us as well. Or, as Marx put it, “The real subject remains outside the mind and independent of it—that is to say, so long as the mind adopts a purely speculative, purely theoretical attitude. Hence the subject, society, must always be envisaged as the premises of conception even when the theoretical method is employed” (Marx: vol. 28, 38-39).[3]

    This “subject, society” in Marx’s terms, is present even in its purported absence—it is inextricable from and indeed overdetermines theory and, thus, thought: in other words, language, narrative, textuality, ideology, digitality, cosmic consciousness. This absent structure informs Althusser’s Lacanian-Marxist analysis of Ideology (and of “the ideology of no ideology,” 1977) as the ideological moment par excellance: an analog way of saying “reality” is simulation) as well as his beguiling (because at once necessary and self-negating) possibility of a subjectless scientific discourse. This non-narrative, unsymbolizeable absent structure akin to the Lacanian “Real” also informs Jameson’s concept of the political unconscious as the black-boxed formal processor of said absent structure, indicated in his work by the term “History” with a capital “H” (1981).  We will take up Althusser and Jameson in due time (but not in this paper). For now, however, for the purposes of our mediological investigation, it is important to pursue the thought that precisely this functional overdetermination, which already informed Marx’s analysis of the historicity of the senses in the 1844 manuscripts, extends into the development of the senses and the psyche. As Jameson put it in The Political Unconscious thirty-five years ago: “That the structure of the psyche is historical and has a history, is… as difficult for us to grasp as that the senses are not themselves natural organs but rather the result of a long process of differentiation even within human history”(1981, 62).

    The evidence for the accuracy of this claim, built from Marx’s notion that “the forming of the five senses requires the history of the world down to the present” has been increasing. There is a host of work on the inseparability of technics and the so-called human (from Mauss to Simondon, Deleuze and Guattari, and Bernard Stiegler) that increasingly makes it possible to understand and even believe that the human, along with consciousness, the psyche, the senses and, consequently, the unconscious are historical formations. My own essay “The Unconscious of the Unconscious” from The Cinematic Mode of Production traces Lacan’s use of “montage,” “the cut,” the gap, objet a, photography and other optical tropes and argues (a bit too insistently perhaps) that the unconscious of the unconscious is cinema, and that a scrambling of linguistic functions by the intensifying instrumental circulation of ambient images (images that I now understand as derivatives of a larger calculus) instantiates the presumably organic but actually equally technical cinematic black box known as the unconscious.[iv] Psychoanalysis is the institutionalization of a managerial technique for emergent linguistic dysfunction (think literary modernism) precipitated by the onslaught of the visible.

    More recently, and in a way that suggests that the computational aspects of historical materialist critique are not as distant from the Lacanian Real as one might think, Lydia Liu’s The Freudian Robot (2010) shows convincingly that Lacan modeled the theory of the unconscious from information theory and cybernetic theory. Liu understands that Lacan’s emphasis on the importance of structure and the compulsion to repeat is explicitly addressed to “the exigencies of chance, randomness, and stochastic processes in general” (2010, 176). She combs Lacan’s writings for evidence that they are informed by information theory and provides us with some smoking guns including the following:

    By itself, the play of the symbol represents and organizes, independently of the peculiarities of its human support, this something which is called the subject. The human subject doesn’t foment this game, he takes his place in it, and plays the role of the little pluses and minuses in it. He himself is an element in the chain which, as soon as it is unwound, organizes itself in accordance with laws. Hence the subject is always on several levels, caught up in the crisscrossing of networks. (quoted in Liu 2010, 176)

    Liu argues that “the crisscrossing of networks” alludes not so much to linguistic networks but to communication networks, and precisely references the information theory that Lacan read, particularly that of George Gilbaud, the author of What is Cybernetics?. She writes that, “For Lacan, ‘the primordial couple of plus and minus’ or the game of even and odd should precede linguistic considerations and is what enables the symbolic order.”

    “You can play heads or tails by yourself,” says Lacan, “but from the point of view of speech, you aren’t playing by yourself – there is already the articulation of three signs comprising a win or a loss and this articulation prefigures the very meaning of the result. In other words, if there is no question, there is no game, if there is no structure, there is no question. The question is constituted, organized by the structure” (quoted in Liu 2010, 179). Liu comments that “[t]his notion of symbolic structure, consistent with game theory, [has] important bearings on Lacan’s paradoxically non-linguistic view of language and the symbolic order.”

    Let us not distract ourselves here with the question of whether or not game theory and statistical analysis represent discovery or invention. Heisenberg, Schrödinger, and information theory formalized the statistical basis that one way or another became a global (if not also multiversal) episteme. Norbert Wiener, another father, this time of cybernetics, defined statistics as “the science of distribution” (Weiner 1989, 8). We should pause here to reflect that, given that cybernetic research in the West was driven by military and, later, industrial applications, that is, applications deemed essential for the development of capitalism and the capitalist way of life, such a statement calls for a properly dialectical analysis. Distribution is inseparable from production under capitalism, and statistics is the science of this distribution. Indeed, we would want to make such a thesis resonate with the analysis of logistics recently undertaken by Moten and Harney and, following them, link the analysis of instrumental distribution to the Middle Passage, as the signal early modern consequence of the convergence of rationalization and containerization—precisely the “science” of distribution worked out in the French slave ship Adelaide or the British ship Brookes. For the moment, we underscore the historicity of the “science of distribution” and thus its historical emergence as socio-symbolic system of organization and control. Keeping this emergence clearly in mind helps us to understand that mathematical models quite literally inform the articulation of History and the unconscious—not only homologously as paradigms in intellectual history, but materially, as ways of organizing social production in all domains. Whether logistical, optical or informatic, the technics of mathematical concepts, which is to say programs, orchestrate meaning and constitute the unconscious.

    Perhaps more elusive even than this historicity of the unconscious grasped in terms of a digitally encoded matrix of materiality and epistemology that constitutes the unthought of subjective emergence, may be that the notion that the “subject, society” extends into our machines. Vilém Flusser, in Towards a Philosophy of Photography, tells us,

    Apparatuses were invented to simulate specific thought processes. Only now (following the invention of the computer), and as it were in hindsight, it is becoming clear what kind of thought processes we are dealing with in the case of all apparatuses. That is: thinking expressed in numbers. All apparatuses (not just computers) are calculating machines and in this sense “artificial intelligences,” the camera included, even if their inventors were not able to account for this. In all apparatuses (including the camera) thinking in numbers overrides linear, historical thinking. (Flusser 2000, 31)

    This process of thinking in numbers, and indeed the generalized conversion of multiple forms of thought and practice to an increasingly unified systems language of numeric processing, by capital markets, by apparatuses, by digital computers requires further investigation. And now that the edifice of computation—the fixed capital dedicated to computation that either recognizes itself as such or may be recognized as such—has achieved a consolidated sedimentation of human labor at least equivalent to that required to build a large nation (a superpower) from the ground up, we are in a position to ask in what way has capital-logic and the logic of private property, which as Marx points out is not the cause but the effect of alienated wage- (and thus quantified) labor, structured computational paradigms? In what way has that “subject, society” unconsciously structured not just thought, but machine-thought? Thinking, expressed in numbers, materialized first by means of commodities and then in apparatuses capable of automating this thought. Is computation what we’ve been up to all along without knowing it? Flusser suggests as much through his notion that 1) the camera is a black box that is a programme, and, 2) that the photograph or technical image produces a “magical” relation to the world in as much as people understand the photograph as a window rather than as information organized by concepts. This amounts to the technical image as itself a program for the bios and suggests that the world has long been unconsciously organized by computation vis-à-vis the camera. As Flusser has it, cameras have organized society in a feedback loop that works towards the perfection of cameras. If the computational processes inherent in photography are themselves an extension of capital logic’s universal digitization (an argument I made in The Cinematic Mode of Production and extended in The Message is Murder), then that calculus has been doing its work in the visual reorganization of everyday life for almost two centuries.

    Put another way, thinking expressed in numbers (the principles of optics and chemistry) materialized in machines automates thought (thinking expressed in numbers) as program. The program of say, the camera, functions as a historically produced version of what Katherine Hayles has recently called “nonconscious cognition” (Hayles 2016). Though locally perhaps no more self-aware than the sediment sorting process of a riverbed (another of Hayles’s computational examples) the camera nonetheless affects purportedly conscious beings from the domain known as the unconscious, as, to give but one shining example, feminist film theory clearly shows: The function of the camera’s program organizes the psycho-dynamics of the spectator in a way that at once structures film form through market feedback, gratifies the (white-identified) male ego and normalizes the violence of heteropatriarchy, and does so at a profit. Now that so much human time has gone into developing cameras, computer hardware and programming, such that hardware and programming are inextricable from the day to day and indeed nano-second to nano-second organization of life on planet earth (and not only in the form of cameras), we can ask, very pointedly, which aspects of computer function, from any to all, can be said to be conditioned not only by sexual difference but more generally still, by structural inequality and the logistics of racialization? Which computational functions perpetuate and enforce these historically worked up, highly ramified social differences ? Structural and now infra-structural inequalities include social injustices—what could be thought of as and in a certain sense are  algorithmic racism, sexism and homophobia, and also programmatically unequal access to the many things that sustain life, and legitimize murder (both long and short forms, executed by, for example, carceral societies, settler colonialism, police brutality and drone strikes), and catastrophes both unnatural (toxic mine-tailings, coltan wars) and purportedly natural (hurricanes, droughts, famines, ambient environmental toxicity). The urgency of such questions resulting from the near automation of geo-political emergence along with a vast conscription of agents is only exacerbated as we recognize that we are obliged to rent or otherwise pay tribute (in the form of attention, subscription, student debt) to the rentier capitalists of the infrastructure of the algorithm in order to access portions of the general intellect from its proprietors whenever we want to participate in thinking.

    For it must never be assumed that technology (even the abstract machine) is value-neutral, that it merely exists in some uninterested ideal place and is then utilized either for good or for ill by free men (it would be “men” in such a discourse). Rather, the machine, like Ariella Azoulay’s understanding of photography, has a political ontology—it is a social relation, and an ongoing one whose meaning is, as Azoulay says of the photograph, never at an end (2012, 25). Now that representation has been subsumed by machines, has become machinic (overcoded as Deleuze and Guattari would say) everything that appears, appears in and through the machine, as a machine. For the present (and as Plato already recognized by putting it at the center of the Republic), even the Sun is political. Going back to my opening, the cosmos is merely a collection of billions of suns—an infinite politics.

    But really, this political ontology of knowledge, machines, consciousness, praxis should be obvious. How could technology, which of course includes the technologies of knowledge, be anything other than social and historical, the product of social relations? How could these be other than the accumulation, objectification and sedminentation of subjectivities that are themselves an historical product? The historicity of knowledge and perception seems inescapable, if not fully intelligible, particularly now, when it is increasingly clear that it is the programmatic automation of thought itself that has been embedded in our apparatuses. The programming and overdetermination of “choice,” of options, by a rationality that was itself embedded in the interested circumstances of life and continuously “learns” vis-à-vis the feedback life provides has become ubiquitous and indeed inexorable (I dismiss “Object Oriented Ontology” and its desperate effort to erase white-boy subjectivity thusly: there are no ontological objects, only instrumental epistemic horizons). To universalize contemporary subjectivity by erasing its conditions of possibility is to naturalize history; it is therefore to depoliticize it and therefore to recapitulate its violence in the present.

    The short answer then regarding digital universality is that technology (and thus perception, thought and knowledge) can only be separated from the social and historical—that is, from racial capitalism—by eliminating both the social and historical (society and history) through its own operations. While computers, if taken as a separate constituency along with a few of their biotic avatars, and then pressed for an answer, might once have agreed with Margaret Thatcher’s view that “there is no such thing as society,” one would be hard-pressed to claim that this post-sociological (and post-Birmingham) “discovery” is a neutral result. Thatcher’s observation, that “the problem with socialism is that you eventually run out of other people’s money,” while admittedly pithy, if condescending, classist and deadly, subordinates social needs to existing property-relations and their financial calculus at the ontological level. She smugly valorizes the status quo by positing capitalism as an untranscendable horizon since the social product is by definition always already “other people’s money.” But neoliberalism has required some revisioning of late (which is a polite way of saying that fascism has needed some updating): the newish but by now firmly-established term “social media” tells us something more about the parasitic relation that the cold calculus this mathematical universe of numbers has to the bios. To preserve global digital apartheid requires social media, the process(ing) of society itself cybernetically-interfaced with the logistics of racial-capitalist computation. This relation, a means of digital expropriation aimed to profitably exploit an equally significant global aspiration towards planetary communicativity and democratization, has become the preeminent engine of capitalist growth. Society, at first seemingly negated by computation and capitalism, is now directly posited as a source of wealth, for what is now explicitly computational capital and actually computational racial capital. The attention economy, immaterial labor, neuropower, semio-capitalism: all of these terms, despite their differences, mean in effect that society, as a deterritorialized factory, is no longer disappeared as an economic object; it disappears only as a full beneficiary of the dominant economy which is now parasitical on its metabolism. The social revolution in planetary communicativity is being farmed and harvested by computational capitalism.

    Dialectics of the Human-Machine

    For biologists it has become au courant when speaking of humans to speak also of the second genome—one must consider not just the 26 chromosomes of the human genome that replicate what was thought of as the human being as an autonomous life-form, but the genetic information and epigenetic functionality of all the symbiotic bacteria and other organisms without which there are no humans. Pursuant to this thought, we might ascribe ourselves a third genome: information. No good scientist today believes that human beings are free standing forms, even if most (or really almost all) do not make the critique of humanity or even individuality through a framework that understands these categories as historically emergent interfaces of capitalist exchange. However, to avoid naturalizing the laws of capitalism as simply an expression of the higher (Hegalian) laws of energetics and informatics (in which, for example ATP can be thought to function as “capital”), this sense of “our” embeddedness in the ecosystem of the bios must be extended to that of the materiality of our historical societies, and particularly to their systems of mediation and representational practices of knowledge formation—including the operations of  textuality, visuality, data visualization and money—which, with convergence today, means precisely, computation.

    If we want to understand the emergence of computation (and of the anthropocene), we must attend to the transformations and disappearances of life forms—of forms of life in the largest sense. And we must do so in spite of the fact that the sedimentation of the history of computation would neutralize certain aspects of human aspiration and of humanity—including, ultimately, even the referent of that latter sign—by means of law, culture, walls, drones, derivatives, what have you. The biosynthetic process of computation and human being gives rise to post-humanism only to reveal that there were never any humans here in the first place: We have never been human—we know this now. “Humanity,” as a protracted example of maiconaissance—as a problem of what could be called the humanizing-machine or, better perhaps, the human-machine, is on the wane.

    Naming the human-machine, is of course a way of talking about the conquest, about colonialism, slavery, imperialism, and the racializing, sex-gender norm-enforcing regimes of the last 500 years of capitalism that created the ideological legitimation of its unprecedented violence in the so-called humanistic values it spat out. Aimé Césaire said it very clearly when he posed the scathing question in Discourse on Colonialism: “Civilization and Colonization?” (1972). “The human-machine” names precisely the mechanics of a humanism that at once resulted from and were deployed to do the work of humanizing planet Earth for the quantitative accountings of capital while at the same time divesting a large part of the planetary population of any claims to the human. Following David Golumbia, in The Cultural Logic of Computation (2009), we might look to Hobbes, automata and the component parts of the Leviathan for “human” emergence as a formation of capital. For so many, humanism was in effect more than just another name for violence, oppression, rape, enslavement and genocide—it was precisely a means to violence. “Humanity” as symptom of The Invisible Hand, AI’s avatar. Thus it is possible to see the end of humanism as a result of decolonization struggles, a kind of triumph. The colonized have outlasted the humans. But so have the capitalists.

    This is another place where recalling the dialectic is particularly useful. Enlightenment Humanism was a platform for the linear time of industrialization and the French revolution with “the human” as an operating system, a meta-ISA emerging in historical movement, one that developed a set of ontological claims which functioned in accord with the early period of capitalist digitality. The period was characterized by the institutionalization of relative equality (Cedric Robinson does not hesitate to point out that the precondition of the French Revolution was colonial slavery), privacy, property. Not only were its achievements and horrors inseparable the imposition of logics of numerical equivalence, they were powered by the labor of the peoples of Earth, by the labor-power of disparate peoples, imported as sugar and spices, stolen as slaves, music and art, owned as objective wealth in the form of lands, armies, edifices and capital, and owned again as subjective wealth in the form of cultural refinement, aesthetic sensibility, bourgeois interiority—in short, colonial labor, enclosed by accountants and the whip, was expatriated as profit, while industrial labor, also expropriated, was itself sustained by these endeavors. The accumulation of the wealth of the world and of self-possession for some was organized and legitimated by humanism, even as those worlded by the growth of this wealth struggled passionately, desultorily, existentially, partially and at times absolutely against its oppressive powers of objectification and quantification. Humanism was colonial software, and the colonized were the outsourced content providers—the first content providers—recruited to support the platform of so-called universal man. This platform humanism is not so much a metaphor; rather it is the tendency that is unveiled by the present platform post-humanism of computational racial capital. The anatomy of man is the key to the anatomy of the ape, as Marx so eloquently put the telos of man. Is the anatomy of computation the key to the anatomy of “man”?

    So the end of humanism, which in a narrow (white, Euro-American, technocratic) view seems to arrive as a result of the rise of cyber-technologies, must also be seen as having been long willed and indeed brought about by the decolonizing struggles against humanism’s self-contradictory and, from the point of view of its own self-proclaimed values, specious organization. Making this claim is consistent with Césaire’s insight that people of the third world built the European metropoles. Today’s disappearance of the human might mean for the colonizers who invested so heavily in their humanisms, that Dr. Moreau’s vivisectioned cyber-chickens are coming home to roost. Fatally, it seems, since Global North immigration policy, internment centers, border walls, police forces give the lie to any pretense of humanism. It might be gleaned that the revolution against the humans has also been impacted by our machines. However, the POTUSian defeat of the so-called humans is double-edged to say the least. The dialectic of posthuman abundance on the one hand and the posthuman abundance of dispossession on the other has no truck with humanity. Today’s mainstream futurologists mostly see “the singularity” and apocalypse. Critics of the posthuman with commitments to anti-racist world-making have clearly understood the dominant discourse on the posthuman as not the end of the white liberal human subject but precisely, when in the hands of those not committed to an anti-racist and decolonial project as a means for its perpetuation—a way of extending the unmarked, transcendental, sovereign, subject (of Hobbes, Descartes, C.B. Macpherson)—effectively the white male sovereign who was in possession of a body rather than forced to be a body. Sovereignty itself must change (in order, as Guiseppe Lampedusa taught us, to remain the same), for if one sees production and innovation on the side of labor, then capital’s need to contain labors’ increasing self-organization has driven it into a position where the human has become an impediment to its continued expansion. Human rights, though at times also a means to further expropriation, are today in the way.

    Let’s say that it is global labor that is shaking off the yoke of the human from without, as much as it the digital machines that are devouring it from within. The dialectic of computational racial capital devours the human as a way of revolutionizing the productive forces. Weapon-makers, states, and banks, along with Hollywood and student debt, invoke the human only as a skeuomorph—an allusion to an old technology that helps facilitate adoption of the new. Put another way, the human has become a barrier to production, it is no longer a sustainable form. The human, and those (human and otherwise) falling under the paradigm’s dominion, must be stripped, cut, bundled, reconfigured in derivative forms. All hail the dividual. Again, female and racialized bodies and subjects have long endured this now universal fragmentation and forced recomposition and very likely dividuality may also describe a precapitalist, pre-colonial interface with the social. However we are obliged to point out that this, the current dissolution of the human into the infrastructure of the world-system, is double-edged, neither fully positive, nor fully negative—the result of the dialectics of struggles for liberation distributed around the planet. As a sign of the times, posthumanism may be, as has been remarked about capitalism itself, among those simultaneously best and worst things to ever happen in history. On the one hand, the disappearance of presumably ontological protections and legitimating status for some (including the promise of rights never granted to most), on the other, the disappearance of a modality of dehumanization and exclusion that legitimated and normalized white supremacist patriarchy by allowing its values to masquerade as universals. However, it is difficult to maintain optimism of the will when we see that that which is coming, that which is already upon us may also be as bad or worse, in absolute numbers, is already worse, for unprecedented billions of concrete individuals. Frankly, in a world where the cognitive-linguistic functions of the species have themselves been captured by the ambient capitalist computation of social media and indeed of capitalized computational social relations, of what use is a theory of dispossession to the dispossessed?

    For those of us who may consider ourselves thinkers, it is our burden—in a real sense, our debt, living and ancestral—to make theory relevant to those who haunt it. Anything less is betrayal. The emergence of the universal value form (as money, the general form of wealth) with its human face (as white-maleness, the general form of humanity) clearly inveighs against the possibility of extrinsic valuation since the very notion of universal valuation is posited from within this economy. What Cedric Robinson shows in his extraordinary Black Marxism (1983) is that capitalism itself is a white mythology. The history of racialization and capitalization are inseparable, and the treatment of capital as a pure abstraction deracinates its origins and functions – both its conditions of possibility as well as its operations—including those of the internal critique of capitalism that has been the basis of much of the Marxist tradition. Both capitalism and its negation as Marxism have proceeded through a disavowal of racialization. The quantitative exchange of equivalents, circulating as exchange values without qualities, are the real abstractions that give rise to philosophy, science, and white liberal humanism wedded to the notion of the objective. Therefore, when it comes to values, there is no degree zero, only perhaps nodal points of bounded equilibrium. To claim neutrality for an early digital machine, say, money, that is, to argue that money as a medium is value-neutral because it embodies what has (in many respects correctly, but in a qualified way) been termed “the universal value form,” would be to miss the entire system of leveraged exploitation that sustains the money-system. In an isolated instance, money as the product of capital might be used for good (building shelters for the homeless) or for ill (purchasing Caterpillar bulldozers) or both (building shelters using Caterpillar machines), but not to see that the capitalist-system sustains itself through militarized and policed expropriation and large-scale, long-term universal degradation is to engage in mere delusional, utopianism and self-interested (might one even say psychotic?) naysaying.

    Will the apologists calmly bear witness to the sacrifice of billions of human beings so that the invisible hand may placidly unfurl its/their abstractions in Kubrikian sublimity? 2001’s (Kubrick 1968) cold longshot of the species lifespan as an instance of a cosmic program is not so distant from the endemic violence of postmodern—and, indeed, post-human—fascism he depicted in A Clockwork Orange (Kubrick 1971). Arguably, 2001 rendered the cosmology of early Posthuman Fascism while A Clockwork Orange portrayed its psychology. Both films explored the aesthetics of programming. For the individual and for the species, what we beheld in these two films was the annihilation of our agency (at the level of the individual and of the species) —and it was eerily seductive, Benjamin’s self-destruction as an aesthetic pleasure of the highest order taken to cosmic proportions and raised to the level of Art (1969).

    So what of the remainders of those who may remain? Here, in the face of the annihilation of remaindered life (to borrow a powerfully dialectical term from Neferti Tadiar, 2016) by various iterations of techné, we are posing the following question: how are computers and digital computing, as universals, themselves an iteration of long-standing historical inequality, violence, and murder, and what are the entry points for an understanding of computation-society in which our currently pre-historic (in Marx’s sense of the term) conditions of computation might be assessed and overcome? This question of technical overdetermination is not a matter of a Kittlerian-style anti-humanism in which “media determine our situation,” nor is it a matter of the post-Kittlerian, seemingly user-friendly repurposing of dialectical materialism which in the beer-drinking tradition of “good-German” idealism, offers us the poorly historicized, neo-liberal idea of “cultural techniques” courtesy of Cornelia Vismann and Bernhard Siegert (Vismann 2013, 83-93; Siegert 2013, 48-65). This latter is a conveniently deracinated way of conceptualizing the distributed agency of everything techno-human without having to register the abiding fundamental antagonisms, the life and death struggle, in anything. Rather, the question I want to pose about computing is one capable of both foregrounding and interrogating violence, assigning responsibility, making changes, and demanding reparations. The challenge upon us is to decolonize computing. Has the waning not just of affect (of a certain type) but of history itself brought us into a supposedly post-historical space? Can we see that what we once called history, and is now no longer, really has been pre-history, stages of pre-history? What would it mean to say in earnest “What’s past is prologue?”[6] If the human has never been and should never be, if there has been this accumulation of negative entropy first via linear time and then via its disruption, then what? Postmodernism, posthumanism, Flusser’s post-historical, and Berardi’s After the Future notwithstanding, can we take the measure of history?

    Hollerith punch card (image source: Library of Congress, http://memory.loc.gov/mss/mcc/023/0008.jpg)
    Figure 1. Hollerith punch card (image source: Library of Congress)

    Techno-Humanist Dehumanization

    I would like to conclude this essay with a few examples of techno-humanist dehumanization. In 1889, Herman Hollerith patented the punchcard system and mechanical tabulator that was used in the 1890 censuses in Germany, England, Italy, Russia, Austria, Canada, France, Norway, Puerto Rico, Cuba, and the Philippines. A national census, which normally took eight to ten years now took a single year. The subsequent invention of the plugboard control panel in 1906 allowed for tabulators to perform multiple sorts in whatever sequence was selected without having to be rebuild the tabulators—an early form of programming. Hollerith’s Tabulating Machine Company merged with three other companies in 1911 to become the Computing Tabulating Recording Company, which renamed itself IBM in 1924.

    While the census opens a rich field of inquiry that includes questions of statistics, computing, and state power that are increasingly relevant today (particularly taking into account the ever-presence of the NSA), for now I only want to extract two points: 1) humans became the fodder for statistical machines and 2) as Vince Rafael has shown regarding the Philippine census and as Edwin Black has shown with respect to the holocaust, the development of this technology was inseparable from racialization and genocide (Rafael 2000; Black 2001)

    Rafael shows that coupled to photographic techniques, the census at once “discerned” and imposed a racializing schema that welded historical “progress” to ever-whiter waves of colonization, from Malay migration to Spanish Colonialism to U.S. Imperialism (2000) Racial fantasy meets white mythology meets World Spirit. For his part, Edwin Black (2001) writes:

    Only after Jews were identified—a massive and complex task that Hitler wanted done immediately—could they be targeted for efficient asset confiscation, ghettoization, deportation, enslaved labor, and, ultimately, annihilation. It was a cross-tabulation and organizational challenge so monumental, it called for a computer. Of course, in the 1930s no computer existed.

    But IBM’s Hollerith punch card technology did exist. Aided by the company’s custom-designed and constantly updated Hollerith systems, Hitler was able to automate his persecution of the Jews. Historians have always been amazed at the speed and accuracy with which the Nazis were able to identify and locate European Jewry. Until now, the pieces of this puzzle have never been fully assembled. The fact is, IBM technology was used to organize nearly everything in Germany and then Nazi Europe, from the identification of the Jews in censuses, registrations, and ancestral tracing programs to the running of railroads and organizing of concentration camp slave labor.

    IBM and its German subsidiary custom-designed complex solutions, one by one, anticipating the Reich’s needs. They did not merely sell the machines and walk away. Instead, IBM leased these machines for high fees and became the sole source of the billions of punch cards Hitler needed (Black 2001).

    The sorting of populations and individuals by forms of social difference including “race,” ability and sexual preference (Jews, Roma, homosexuals, people deemed mentally or physically handicapped) for the purposes of sending people who failed to meet Nazi eugenic criteria off to concentration camps to be dispossessed, humiliated, tortured and killed, means that some aspects of computer technology—here, the Search Engine—emerged from this particular social necessity sometimes called Nazism (Black 2001). The Philippine-American War, in which Americans killed between 1/10th and 1/6th of the population of the Philippines, and the Nazi-administered holocaust are but two world historical events that are part of the meaning of early computational automation. We might say that computers bear the legacy of imperialism and fascism—it is inscribed in their operating systems.

    The mechanisms, as well as the social meaning of computation, were refined in its concrete applications. The process of abstraction hid the violence of abstraction, even as it integrated the result with economic and political protocols and directly effected certain behaviors. It is a well-known fact that Claude Shannon’s landmark paper, “A Mathematical Theory of Communication,” proposed a general theory of communication that was content-indifferent (1948, 379-423). This seminal work created a statistical, mathematical model of communication while simultaneously consigning any and all specific content to irrelevance as regards the transmission method itself. Like use-value under the management of the commodity form, the message became only a supplement to the exchange value of the code. Elsewhere I have more to say about the fact that some of the statistical information Shannon derived about letter frequency in English used as its ur-text, Jefferson The Virginian (1948), the first volume of Dumas Malone’s monumental six volume study of Jefferson, famously interrogated by Annette Gordon-Reed in her Thomas Jefferson and Sally Hemmings: An American Controversy for its suppression of information regarding Jefferson’s relation to slavery (1997).[7] My point here is that the rules for content indifference were themselves derived from a particular content and that the language used as a standard referent was a specific deployment of language. The representative linguistic sample did not represent the whole of language, but language that belongs to a particular mode of sociality and racialized enfranchisement. Shannon’s deprivileging of the referent of the logos as referent, and his attention only to the signifiers, was an intensification of the slippage of signifier from signified (“We, the people…”) already noted in linguistics and functionally operative in the elision of slavery in Jefferson’s biography, to say nothing of the same text’s elision of slave-narrative and African-American speech. Shannon brilliantly and successfully developed a re-conceptualization of language as code (sign system) and now as mathematical code (numerical system) that no doubt found another of its logical (and material) conclusions (at least with respect to metaphysics) in post-structuralist theory and deconstruction, with the placing of the referent under erasure. This recession of the real (of being, the subject, and experience—in short, the signified) from codification allowed Shannon’s mathematical abstraction of rules for the transmission of any message whatsoever to become the industry standard even as they also meant, quite literally, the dehumanization of communication—its severance from a people’s history.

    In a 1987 interview, Shannon was quoted as saying “I can visualize a time in the future when we will be to robots as dogs are to humans…. I’m rooting for the machines!” (1971). If humans are the robot’s companion species, they (or is it we?) need a manifesto. The difficulty is that the labor of our “being” such that it is/was is encrypted in their function. And “we” have never been “one.”

    Tara McPherson has brilliantly argued that the modularity achieved in the development of UNIX has its analogue in racial segregation. Modularity and encapsulation, necessary to the writing of UNIX code that still underpins contemporary operating systems were emergent general socio-technical forms, what we might call technologies, abstract machines, or real abstractions. “I am not arguing that programmers creating UNIX at Bell Labs and at Berkeley were consciously encoding new modes of racism and racial understanding into digital systems,” McPherson argues, “The emergence of covert racism and its rhetoric of colorblindness are not so much intentional as systemic. Computation is a primary delivery method of these new systems and it seems at best naïve to imagine that cultural and computational operating systems don’t mutually infect one another.” (in Nakamura 2012, 30-31; italics in original)

    This is the computational unconscious at work—the dialectical inscription and re-inscription of sociality and machine architecture that then becomes the substrate for the next generation of consciousness, ad infinitum. In a recent unpublished paper entitled “The Lorem Ipsum Project,” Alana Ramjit (2014) examines industry standards for the now-digital imaging of speech and graphic images. These include Kodak’s “Shirley cards” for standard skin tone (white), the Harvard Sentences for standard audio (white), the “Indian Head Test Pattern” for standard broadcast image (white fetishism), and “Lenna,” an image of Lena Soderberg taken from Playboy magazine (white patriarchal unconscious) that has become the reference standard image for the development of graphics processing. Each of these examples testifies to an absorption of the socio-historical at every step of mediological and computational refinement.

    More recently, as Chris Vitale, brought out in a powerful presentation on machine learning and neural networks given at Pratt Institute in 2016, Facebook’s machine has produced “Deep Face,” an image of the minimally recognizable human face. However, this ur-human face, purported to be, the minimally recognizable form of the human face turns out to be a white guy. This is a case in point of the extension of colonial relations into machine function. Given the racialization of poverty in the system of global apartheid (Federici 2012), we have on our hands (or, rather, in our machines) a new modality of automated genocide. Fascism and genocide have new mediations and may not just have adapted to new media but may have merged. Of course, the terms and names of genocidal regeimes change, but the consequences persist. Just yesterday it was called neo-liberal democracy. Today it’s called the end of neo-liberalism. The current world-wide crisis in migration is one of the symptoms of the genocidal tendencies of the most recent coalescence of the “practically” automated logistics of race, nation and class. Today racism is at once a symptom of the computational unconscious, an operation of non-conscious cognition, and still just the garden variety self-serving murderous stupidity that is the legacy of slavery, settler colonialism and colonialism.

    Thus we may observe that the statistical methods utilized by IBM to find Jews in the Shtetl are operative in Weiner’s anti-aircraft cybernetics as well as in Israel’s Iron Dome missile defense system. But, the prevailing view, even if it is not one of pure mathematical abstraction, in which computational process has its essence without reference to any concrete whatever, can be found in what follows. As an article entitled “Traces of Israel’s Iron Dome can be found in Tech Startups” for Bloomberg News almost giddily reports:

    The Israeli-engineered Iron Dome is a complex tapestry of machinery, software and computer algorithms capable of intercepting and destroying rockets midair. An offshoot of the missile-defense technology can also be used to sell you furniture. (Coppola 2014)[8]

    Not only is war good computer business, it’s good for computerized business. It is ironic that te is likened to a tapestry and now used to sell textiles – almost as if it were haunted by Lisa Nakamura’s recent findings regarding the (forgotten) role of Navajo women weavers in the making of early transistor’s for Silicon Valley legend and founding father, as well as infamous eugenicist, William Shockley’s company Fairchild.[9] The article goes on to confess that the latest consumer spin-offs that facilitate the real-time imaging of couches in your living room capable of driving sales on the domestic fronts exist thanks to the U. S. financial support for Zionism and its militarized settler colonialism in Palestine. “We have American-backed apartheid and genocide to thank for being able to visualize a green moderne couch in our very own living room before we click “Buy now.”” (Okay, this is not really a quotation, but it could have been.)

    Census, statistics, informatics, cryptography, war machines, industry standards, markets—all management techniques for the organization of otherwise unruly humans, sub-humans, posthumans and nonhumans by capitalist society. The ethos of content indifference, along with the encryption of social difference as both mode and means of systemic functionality is sustainable only so long as derivative human beings are themselves rendered as content providers, body and soul. But it is not only tech spinoffs from the racist war dividends we should be tracking. Wendy Chun (2004, 26-51) has shown in utterly convincing ways that the gendered history of the development of computer programming at ENIAC in which male mathematicians instructed female programmers to physically make the electronic connections (and remove any bugs) echoes into the present experiences of sovereignty enjoyed by users who have, in many respects, become programmers (even if most of us have little or no idea how programming works, or even that we are programming).

    Chun notes that “during World War II almost all computers were young women with some background in mathematics. Not only were women available for work then, they were also considered to be better, more conscientious computers, presumably because they were better at repetitious, clerical tasks” (Chun 2004, 33)  One could say that programming became programming and software became software when commands shifted from commanding a “girl” to commanding a machine. Clearly this puts the gender of the commander in question.

    Chun suggests that the augmentation of our power through the command-control functions of computation is a result of what she calls the “Yes sir” of the feminized operator—that is, of servile labor (2004). Indeed, in the ENIAC and other early machines the execution of the operator’s order was to be carried out by the “wren” or the “slave.” For the desensitized, this information may seem incidental, a mere development or advance beyond the instrumentum vocale (the “speaking tool” i.e., a roman term for “slave”) in which even the communicative capacities of the slave are totally subordinated to the master. Here we must struggle to pose the larger question: what are the implications for this gendered and racialized form of power exercised in the interface? What is its relation to gender oppression, to slavery? Is this mode of command-control over bodies and extended to the machine a universal form of empowerment, one to which all (posthuman) bodies might aspire, or is it a mode of subjectification built in the footprint of domination in such a way that it replicates the beliefs, practices and consequences of  “prior” orders of whiteness and masculinity in unconscious but nonetheless murderous ways.[10] Is the computer the realization of the power of a transcendental subject, or of the subject whose transcendence was built upon a historically developed version of racial masculinity based upon slavery and gender violence?

    Andrew Norman Wilson’s scandalizing film Workers Leaving the Googleplex (2011), the making of which got him fired from Google, depicts lower class, mostly of color workers leaving the Google Mountain View campus during off hours. These workers are the book scanners, and shared neither the spaces nor the perks with Google white collar workers, had different parking lots, entrances and drove a different class of vehicles. Wilson also has curated and developed a set of images that show the condom-clad fingers (black, brown, female) of workers next to partially scanned book pages. He considers these mis-scans new forms of documentary evidence. While digitization and computation may seem to have transcended certain humanistic questions, it is imperative that we understand that its posthumanism is also radically untranscendent, grounded as it is on the living legacies of oppression, and, in the last instance, on the radical dispossession of billions. These billions are disappeared, literally utilized as a surface of inscription for everyday transmissions. The dispossessed are the substrate of the codification process by the sovereign operators commanding their screens. The digitized, rewritable screen pixels are just the visible top-side (virtualized surface) of bodies dispossessed by capital’s digital algorithms on the bottom-side where, arguably, other metaphysics still pertain. Not Hegel’s world spirit—whether in the form of Kurzweil’s singularity or Tegmark’s computronium—but rather Marx’s imperative towards a ruthless critique of everything existing can begin to explain how and why the current computational eco-system is co-functional with the unprecedented dispossession wrought by racial computational capitalism and its system of global apartheid. Racial capitalism’s programs continue to function on the backs of those consigned to servitude. Data-visualization, whether in the form of selfie, global map, digitized classic or downloadable sound of the Big Bang, is powered by this elision. It is, shall we say, inescapably local to planet earth, fundamentally historical in relation to species emergence, inexorably complicit with the deferral of justice.

    The Global South, with its now world-wide distribution, is endemic to the geopolitics of computational racial capital—it is one of its extraordinary products. The computronics that organize the flow of capital through its materials and signs also organize the consciousness of capital and with it the cosmological erasure of the Global South. Thus the computational unconscious names a vast aspect of global function that still requires analysis. And thus we sneak up on the two principle meanings of the concept of the computational unconscious. On the one hand, we have the problematic residue of amortized consciousness (and the praxis thereof) that has gone into the making of contemporary infrastructure—meaning to say, the structural repression and forgetting that is endemic to the very essence of our technological buildout. On the other hand, we have the organization of everyday life taking place on the basis of this amortization, that is, on the basis of a dehistoricized, deracinated relation to both concrete and abstract machines that function by virtue of the fact that intelligible history has been shorn off of them and its legibility purged from their operating systems. Put simply, we have forgetting, the radical disappearance and expunging from memory, of the historical conditions of possibility of what is. As a consequence, we have the organization of social practice and futurity (or lack thereof) on the basis of this encoded absence. The capture of the general intellect means also the management of the general antagonism. Never has it been truer that memory requires forgetting – the exponential growth in memory storage means also an exponential growth in systematic forgetting – the withering away of the analogue. As a thought experiment, one might imagine a vast and empty vestibule, a James Ingo Freed global holocaust memorial of unprecedented scale, containing all the oceans and lands real and virtual, and dedicated to all the forgotten names of the colonized, the enslaved, the encamped, the statisticized, the read, written and rendered, in the history of computational calculus—of computer memory. These too, and the anthropocene itself, are the sedimented traces that remain among the constituents of the computational unconscious.

    _____

    Jonathan Beller is Professor of Humanities and Media Studies and Director of the Graduate Program in Media Studies at Pratt Institute. His books include The Cinematic Mode of Production: Attention Economy and the Society of the Spectacle (2006); Acquiring Eyes: Philippine Visuality, Nationalist Struggle, and the World-Media System (2006); and The Message Is Murder: Substrates of Computational Capital (2017). He is a member of the Social Text editorial collective..

    Back to the essay

    _____

    Notes

    [1] A reviewer of this essay for b2o: An Online Journal notes, “the phrase ‘digital computer’ suggests something like the Turing machine, part of which is characterized by a second-order process of symbolization—the marks on Turing’s tape can stand for anything, & the machine processing the tape does not ‘know’ what the marks ‘mean.’” It is precisely such content indifferent processing that the term “exchange value,” severed as it is of all qualities, indicates.

    [2] It should be noted that the reverse is also true: that race and gender can be considered and/as technologies. See Chun (2012), de Lauretis (1987).

    [3] To insist on first causes or a priori consciousness in the form of God or Truth or Reality is to confront Marx’s earlier acerbic statement against a form of abstraction that eliminates the moment of knowing from the known in The Economic and Philosophic Manuscripts of 1844,

    Who begot the first man and nature as a whole? I can only answer you: Your question is itself a product of abstraction. Ask yourself how you arrived at that question. Ask yourself it that question is not posed from a standpoint to which I cannot reply, because it is a perverse one. Ask yourself whether such a progression exists for a rational mind. When you ask about the creation of nature and man you are abstracting in so doing from man and nature. You postulate them as non-existent and yet you want me to prove them to you as existing. Now I say give up your abstraction and you will give up your question. Or, if you want to hold onto your abstraction, then be consistent, and if you think of man and nature as non-existent, then think of yourself as non-existent, for you too are surely man and nature. Don’t think, don’t ask me, for as soon as you think and ask, your abstraction from the existence of nature and man has no meaning. Or are you such an egoist that you postulate everything as nothing and yet want yourself to be?” (Tucker 1978, 92)

    [4] If one takes the derivative of computational process at a particular point in space-time one gets an image. If one integrates the images over the variables of space and time, one gets a calculated exploit, a pathway for value-extraction. The image is a moment in this process, the summation of images is the movement of the process.

    [5] See Harney and Moten (2013). See also Browne (2015), especially 43-50.

    [6] In practical terms, the Alternative Informatics Association, in the announcement for their Internet Ungovernance Forum puts things as follows:

    We think that Internet’s problems do not originate from technology alone, that none of these problems are independent of the political, social and economic contexts within which Internet and other digital infrastructures are integrated. We want to re-structure Internet as the basic infrastructure of our society, cities, education, heathcare, business, media, communication, culture and daily activities. This is the purpose for which we organize this forum.

    The significance of creating solidarity networks for a free and equal Internet has also emerged in the process of the event’s organization. Pioneered by Alternative Informatics Association, the event has gained support from many prestigious organizations worldwide in the field. In this two-day event, fundamental topics are decided to be ‘Surveillance, Censorship and Freedom of Expression, Alternative Media, Net Neutrality, Digital Divide, governance and technical solutions’. Draft of the event’s schedule can be reached at https://iuf.alternatifbilisim.org/index-tr.html#program (Fidaner, 2014).

    [7] See Beller (2016, 2017).

    [8] Coppola writes that “Israel owes much of its technological prowess to the country’s near—constant state of war. The nation spent $15.2 billion, or roughly 6 percent of gross domestic product, on defense last year, according to data from the International Institute of Strategic Studies, a U.K. think-tank. That’s double the proportion of defense spending to GDP for the U.S., a longtime Israeli ally. If there’s one thing the U.S. Congress can agree on these days, it’s continued support for Israel’s defense technology. Legislators approved $225 million in emergency spending for Iron Dome on Aug. 1, and President Barack Obama signed it into law three days later.”

    [9] Nakamura (2014).

    [10] For more on this, see Eglash (2007).

    _____

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  • How Ex Machina Abuses Women of Color and Nobody Cares Cause It's Smart

    How Ex Machina Abuses Women of Color and Nobody Cares Cause It's Smart

    Alex Garland, dir. & writer, Ex Machina (A24/Universal Films, 2015)a review of Alex Garland, dir. & writer, Ex Machina (A24/Universal Films, 2015)
    by Sharon Chang
    ~

    In April of this year British science fiction thriller Ex Machina opened in the US to almost unanimous rave reviews. The film was written and directed by Alex Garland, author of bestselling 1996 novel The Beach (also made into a movie) and screenwriter of 28 Days Later (2002) and Never Let Me Go (2010). Ex Machina is Garland’s directorial debut. It’s about a young white coder named Caleb who gets the opportunity to visit the secluded mountain home of his employer Nathan, pioneering programmer of the world’s most powerful search engine (Nathan’s appearance is ambiguous but he reads non-white and the actor who plays him is Guatemalan). Caleb believes the trip innocuous but quickly learns that Nathan’s home is actually a secret research facility in which the brilliant but egocentric and obnoxious genius has been developing sophisticated artificial intelligence. Caleb is immediately introduced to Nathan’s most upgraded construct–a gorgeous white fembot named Ava. And the mind games ensue.

    As the week unfolds the only things we know for sure are (a) imprisoned Ava wants to be free, and, (b) Caleb becomes completely enamored and wants to “rescue” her. Other than that, nothing is clear. What are Ava’s true intentions? Does she like Caleb back or is she just using him to get out? Is Nathan really as much an asshole as he seems or is he putting on a show to manipulate everyone? Who should we feel sorry for? Who should we empathize with? Who should we hate? Who’s the hero? Reviewers and viewers alike are melting in intellectual ecstasy over this brain-twisty movie. The Guardian calls it “accomplished, cerebral film-making”; Wired calls it “one of the year’s most intelligent and thought-provoking films”; Indiewire calls it “gripping, brilliant and sensational”. Alex Garland apparently is the smartest, coolest new director on the block. “Garland understands what he’s talking about,” says RogerEbert.com, and goes “to the trouble to explain more abstract concepts in plain language.”

    Right.

    I like sci-fi and am a fan of Garland’s previous work so I was excited to see his new flick. But let me tell you, my experience was FAR from “brilliant” and “heady” like the multitudes of moonstruck reviewers claimed it would be. Actually, I was livid. And weeks later–I’m STILL pissed. Here’s why…

    *** Spoiler Alert ***

    You wouldn’t know it from the plethora of glowing reviews out there cause she’s hardly mentioned (telling in and of itself) but there’s another prominent fembot in the film. Maybe fifteen minutes into the story we’re introduced to Kyoko, an Asian servant sex slave played by mixed-race Japanese/British actress Sonoya Mizuno. Though bound by abusive servitude, Kyoko isn’t physically imprisoned in a room like Ava because she’s compliant, obedient, willing.

    I recognized the trope of servile Asian woman right away and, how quickly Asian/whites are treated as non-white when they look ethnic in any way.

    Kyoko first appears on screen demure and silent, bringing a surprised Caleb breakfast in his room. Of course I recognized the trope of servile Asian woman right away and, as I wrote in February, how quickly Asian/whites are treated as non-white when they look ethnic in any way. I was instantly uncomfortable. Maybe there’s a point, I thought to myself. But soon after we see Kyoko serving sushi to the men. She accidentally spills food on Caleb. Nathan loses his temper, yells at her, and then explains to Caleb she can’t understand which makes her incompetence even more infuriating. This is how we learn Kyoko is mute and can’t speak. Yep. Nathan didn’t give her a voice. He further programmed her, purportedly, not to understand English.

    kyoko
    Sex slave “Kyoko” played by Japanese/British actress Sonoya Mizuno (image source: i09.com)

    I started to get upset. If there was a point, Garland had better get to it fast.

    Unfortunately the treatment of Kyoko’s character just keeps spiraling. We continue to learn more and more about her horrible existence in a way that feels gross only for shock value rather than for any sort of deconstruction, empowerment, or liberation of Asian women. She is always at Nathan’s side, ready and available, for anything he wants. Eventually Nathan shows Caleb something else special about her. He’s coded Kyoko to love dancing (“I told you you’re wasting your time talking to her. However you would not be wasting your time–if you were dancing with her”). When Nathan flips a wall switch that washes the room in red lights and music then joins a scantily-clad gyrating Kyoko on the dance floor, I was overcome by disgust:

    [youtube https://www.youtube.com/watch?v=hGY44DIQb-A?feature=player_embedded]

    I recently also wrote about Western exploitation of women’s bodies in Asia (incidentally also in February), in particular noting it was US imperialistic conquest that jump-started Thailand’s sex industry. By the 1990s several million tourists from Europe and the U.S. were visiting Thailand annually, many specifically for sex and entertainment. Writer Deena Guzder points out in “The Economics of Commercial Sexual Exploitation” for the Pulitzer Center on Crisis Reporting that Thailand’s sex tourism industry is driven by acute poverty. Women and girls from poor rural families make up the majority of sex workers. “Once lost in Thailand’s seedy underbelly, these women are further robbed of their individual agency, economic independence, and bargaining power.” Guzder gloomily predicts, “If history repeats itself, the situation for poor Southeast Asian women will only further deteriorate with the global economic downturn.”

    caption
    Red Light District, Phuket (image source: phuket.com)

    You know who wouldn’t be a stranger to any of this? Alex Garland. His first novel, The Beach, is set in Thailand and his second novel, The Tesseract, is set in the Philippines, both developing nations where Asian women continue to be used and abused for Western gain. In a 1999 interview with journalist Ron Gluckman, Garland said he made his first trip to Asia as a teenager in high school and had been back at least once or twice almost every year since. He also lived in the Philippines for 9 months. In a perhaps telling choice of words, Gluckman wrote that Garland had “been bitten by the Asian bug, early and deep.” At the time many Asian critics were criticizing The Beach as a shallow look at the region by an uniformed outsider but Garland protested in his interview:

    A lot of the criticism of The Beach is that it presents Thais as two dimensional, as part of the scenery. That’s because these people I’m writing about–backpackers–really only see them as part of the scenery. They don’t see them or the Thai culture. To them, it’s all part of a huge theme park, the scenery for their trip. That’s the point.

    I disagree severely with Garland. In insisting on his right to portray people of color one way while dismissing how those people see themselves, he not only centers his privileged perspective (i.e. white, male) but shows determined disinterest in representing oppressed people transformatively. Leads me to wonder how much he really knows or cares about inequity and uplifting marginalized voices. Indeed in Ex Machina the only point that Garland ever seems to make is that racist/sexist tropes exists, not that we’re going to do anything about them. And that kind of non-critical non-resistant attitude does more to reify and reinforce than anything else. Take for instance in a recent interview with Cinematic Essential (one of few where the interviewer asked about race), Garland had this to say about stereotypes in his new film:

    Sometimes you do things unconsciously, unwittingly, or stupidly, I guess, and the only embedded point that I knew I was making in regards to race centered around the tropes of Kyoko [Sonoya Mizuno], a mute, very complicit Asian robot, or Asian-appearing robot, because of course, she, as a robot, isn’t Asian. But, when Nathan treats the robot in the discriminatory way that he treats it, I think it should be ambivalent as to whether he actually behaves this way, or if it’s a very good opportunity to make him seem unpleasant to Caleb for his own advantage.

    First, approaching race “unconsciously” or “unwittingly” is never a good idea and moreover a classic symptom of white willful ignorance. Second, Kyoko isn’t Asian because she’s a robot? Race isn’t biological or written into human DNA. It’s socio-politically constructed and assigned usually by those in power. Kyoko is Asian because she ha been made that way not only by her oppressor, Nathan, but by Garland himself, the omniscient creator of all. Third, Kyoko represents the only embedded race point in the movie? False. There are two other women of color who play enslaved fembots in Ex Machina and their characters are abused just as badly. “Jasmine” is one of Nathan’s early fembots. She’s Black. We see her body twice. Once being instructed how to write and once being dragged lifeless across the floor. You will never recognize real-life Black model and actress Symara A. Templeman in the role however. Why? Because her always naked body is inexplicably headless when it appears. That’s right. One of the sole Black bodies/persons in the entire film does not have (per Garland’s writing and direction) a face, head, or brain.

    caption
    Symara A. Templeman, who played “Jasmine” in Ex Machina (image source: Templeman on Google+)

    “Jade” played by Asian model and actress Gana Bayarsaikhan, is presumably also a less successful fembot predating Kyoko but perhaps succeeding Jasmine. She too is always shown naked but, unlike Jasmine, she has a head, and, unlike Kyoko, she speaks. We see her being questioned repeatedly by Nathan while trapped behind glass. Jade is resistant and angry. She doesn’t understand why Nathan won’t let her out and escalates to the point we are lead to believe she is decommissioned for her defiance.

    It’s significant that Kyoko, a mixed-race Asian/white woman, later becomes the “upgraded” Asian model. It’s also significant that at the movie’s end white Ava finds Jade’s decommissioned body in a closet in Nathan’s room and skins it to cover her own body. (Remember when Katy Perry joked in 2012 she was obsessed with Japanese people and wanted to skin one?). Ava has the option of white bodies but after examining them meticulously she deliberately chooses Jade. Despite having met Jasmine previously, her Black body is conspicuously missing from the closets full of bodies Nathan has stored for his pleasure and use. And though Kyoko does help Ava kill Nathan in the end, she herself is “killed” in the process (i.e. never free) and Ava doesn’t care at all. What does all this show? A very blatant standard of beauty/desire that is not only male-designed but clearly a light, white, and violently assimilative one.

    caption
    Gana Bayarsaikhan, who played “Jade” in Ex Machina (image source: profile-models.com)

    I can’t even being to tell you how offended and disturbed I was by the treatment of women of color in this movie. I slept restlessly the night after I saw Ex Machina, woke up muddled at 2:45 AM and–still clinging to the hope that there must have been a reason for treating women of color this way (Garland’s brilliant right?)–furiously went to work reading interviews and critiques. Aside from a few brief mentions of race/gender, I found barely anything addressing the film’s obvious deployment of racialized gender stereotypes for its own benefit. For me this movie will be joining the long list of many so-called film classics I will never be able to admire. Movies where supposed artistry and brilliance are acceptable excuses for “unconscious” “unwitting” racism and sexism. Ex Machina may be smart in some ways, but it damn sure isn’t in others.

    Correction (8/1/2015): An earlier version of this post incorrectly stated that actress Symara A. Templeman was the only Black person in the film. The post has been updated to indicate that the movie also featured at least one other Black actress, Deborah Rosan, in an uncredited role as Office Manager.

    _____

    Sharon H. Chang is an author, scholar, sociologist and activist. She writes primarily on racism, social justice and the Asian American diaspora with a feminist lens. Her pieces have appeared in Hyphen Magazine, ParentMap Magazine, The Seattle Globalist, on AAPI Voices and Racism Review. Her debut book, Raising Mixed Race: Multiracial Asian Children in a Post-Racial World, is forthcoming through Paradigm Publishers as part of Joe R. Feagin’s series “New Critical Viewpoints on Society.” She also sits on the board for Families of Color Seattle and is on the planning committee for the biennial Critical Mixed Race Studies Conference. She blogs regularly at Multiracial Asian Families, where an earlier version of this post first appeared.

    The editors thank Dorothy Kim for referring us to this essay.

    Back to the essay

  • Artificial Intelligence as Alien Intelligence

    Artificial Intelligence as Alien Intelligence

    By Dale Carrico
    ~

    Science fiction is a genre of literature in which artifacts and techniques humans devise as exemplary expressions of our intelligence result in problems that perplex our intelligence or even bring it into existential crisis. It is scarcely surprising that a genre so preoccupied with the status and scope of intelligence would provide endless variations on the conceits of either the construction of artificial intelligences or contact with alien intelligences.

    Of course, both the making of artificial intelligence and making contact with alien intelligence are organized efforts to which many humans are actually devoted, and not simply imaginative sites in which writers spin their allegories and exhibit their symptoms. It is interesting that after generations of failure the practical efforts to construct artificial intelligence or contact alien intelligence have often shunted their adherents to the margins of scientific consensus and invested these efforts with the coloration of scientific subcultures: While computer science and the search for extraterrestrial intelligence both remain legitimate fields of research, both AI and aliens also attract subcultural enthusiasms and resonate with cultic theology, each attracts its consumer fandoms and public Cons, each has its True Believers and even its UFO cults and Robot cults at the extremities.

    Champions of artificial intelligence in particular have coped in many ways with the serial failure of their project to achieve its desired end (which is not to deny that the project has borne fruit) whatever the confidence with which generation after generation of these champions have insisted that desired end is near. Some have turned to more modest computational ambitions, making useful software or mischievous algorithms in which sad vestiges of the older dreams can still be seen to cling. Some are simply stubborn dead-enders for Good Old Fashioned AI‘s expected eventual and even imminent vindication, all appearances to the contrary notwithstanding. And still others have doubled down, distracting attention from the failures and problems bedeviling AI discourse simply by raising its pitch and stakes, no longer promising that artificial intelligence is around the corner but warning that artificial super-intelligence is coming soon to end human history.

    alien planet

    Another strategy for coping with the failure of artificial intelligence on its conventional terms has assumed a higher profile among its champions lately, drawing support for the real plausibility of one science-fictional conceit — construction of artificial intelligence — by appealing to another science-fictional conceit, contact with alien intelligence. This rhetorical gambit has often been conjoined to the compensation of failed AI with its hyperbolic amplification into super-AI which I have already mentioned, and it is in that context that I have written about it before myself. But in a piece published a few days ago in The New York Times, “Outing A.I.: Beyond the Turing Test,” Benjamin Bratton, a professor of visual arts at U.C. San Diego and Director of a design think-tank, has elaborated a comparatively sophisticated case for treating artificial intelligence as alien intelligence with which we can productively grapple. Near the conclusion of his piece Bratton declares that “Musk, Gates and Hawking made headlines by speaking to the dangers that A.I. may pose. Their points are important, but I fear were largely misunderstood by many readers.” Of course these figures made their headlines by making the arguments about super-intelligence I have already rejected, and mentioning them seems to indicate Bratton’s sympathy with their gambit and even suggests that his argument aims to help us to understand them better on their own terms. Nevertheless, I take Bratton’s argument seriously not because of but in spite of this connection. Ultimately, Bratton makes a case for understanding AI as alien that does not depend on the deranging hyperbole and marketing of robocalypse or robo-rapture for its force.

    In the piece, Bratton claims “Our popular conception of artificial intelligence is distorted by an anthropocentric fallacy.” The point is, of course, well taken, and the litany he rehearses to illustrate it is enormously familiar by now as he proceeds to survey popular images from Kubrick’s HAL to Jonze’s Her and to document public deliberation about the significance of computation articulated through such imagery as the “rise of the machines” in the Terminator franchise or the need for Asimov’s famous fictional “Three Laws of Robotics.” It is easy — and may nonetheless be quite important — to agree with Bratton’s observation that our computational/media devices lack cruel intentions and are not susceptible to Asimovian consciences, and hence thinking about the threats and promises and meanings of these devices through such frames and figures is not particularly helpful to us even though we habitually recur to them by now. As I say, it would be easy and important to agree with such a claim, but Bratton’s proposal is in fact somewhat a different one:

    [A] mature A.I. is not necessarily a humanlike intelligence, or one that is at our disposal. If we look for A.I. in the wrong ways, it may emerge in forms that are needlessly difficult to recognize, amplifying its risks and retarding its benefits. This is not just a concern for the future. A.I. is already out of the lab and deep into the fabric of things. “Soft A.I.,” such as Apple’s Siri and Amazon recommendation engines, along with infrastructural A.I., such as high-speed algorithmic trading, smart vehicles and industrial robotics, are increasingly a part of everyday life.

    Here the serial failure of the program of artificial intelligence is redeemed simply by declaring victory. Bratton demonstrates that crying uncle does not preclude one from still crying wolf. It’s not that Siri is some sickly premonition of the AI-daydream still endlessly deferred, but that it represents the real rise of what robot cultist Hans Moravec once promised would be our “mind children” but here and now as elfen aliens with an intelligence unto themselves. It’s not that calling a dumb car a “smart” car is simply a hilarious bit of obvious marketing hyperbole, but represents the recognition of a new order of intelligent machines among us. Rather than criticize the way we may be “amplifying its risks and retarding its benefits” by reading computation through the inapt lens of intelligence at all, he proposes that we should resist holding machine intelligence to the standards that have hitherto defined it for fear of making its recognition “too difficult.”

    The kernel of legitimacy in Bratton’s inquiry is its recognition that “intelligence is notoriously difficult to define and human intelligence simply can’t exhaust the possibilities.” To deny these modest reminders is to indulge in what he calls “the pretentious folklore” of anthropocentrism. I agree that anthropocentrism in our attributions of intelligence has facilitated great violence and exploitation in the world, denying the dignity and standing of Cetaceans and Great Apes, but has also facilitated racist, sexist, xenophobic travesties by denigrating humans as beastly and unintelligent objects at the disposal of “intelligent” masters. “Some philosophers write about the possible ethical ‘rights’ of A.I. as sentient entities, but,” Bratton is quick to insist, “that’s not my point here.” Given his insistence that the “advent of robust inhuman A.I.” will force a “reality-based” “disenchantment” to “abolish the false centrality and absolute specialness of human thought and species-being” which he blames in his concluding paragraph with providing “theological and legislative comfort to chattel slavery” it is not entirely clear to me that emancipating artificial aliens is not finally among the stakes that move his argument whatever his protestations to the contrary. But one can forgive him for not dwelling on such concerns: the denial of an intelligence and sensitivity provoking responsiveness and demanding responsibilities in us all to women, people of color, foreigners, children, the different, the suffering, nonhuman animals compels defensive and evasive circumlocutions that are simply not needed to deny intelligence and standing to an abacus or a desk lamp. It is one thing to warn of the anthropocentric fallacy but another to indulge in the pathetic fallacy.

    Bratton insists to the contrary that his primary concern is that anthropocentrism skews our assessment of real risks and benefits. “Unfortunately, the popular conception of A.I., at least as depicted in countless movies, games and books, still seems to assume that humanlike characteristics (anger, jealousy, confusion, avarice, pride, desire, not to mention cold alienation) are the most important ones to be on the lookout for.” And of course he is right. The champions of AI have been more than complicit in this popular conception, eager to attract attention and funds for their project among technoscientific illiterates drawn to such dramatic narratives. But we are distracted from the real risks of computation so long as we expect risks to arise from a machinic malevolence that has never been on offer nor even in the offing. Writes Bratton: “Perhaps what we really fear, even more than a Big Machine that wants to kill us, is one that sees us as irrelevant. Worse than being seen as an enemy is not being seen at all.”

    But surely the inevitable question posed by Bratton’s disenchanting expose at this point should be: Why, once we have set aside the pretentious folklore of machines with diabolical malevolence, do we not set aside as no less pretentiously folkloric the attribution of diabolical indifference to machines? Why, once we have set aside the delusive confusion of machine behavior with (actual or eventual) human intelligence, do we not set aside as no less delusive the confusion of machine behavior with intelligence altogether? There is no question were a gigantic bulldozer with an incapacitated driver to swerve from a construction site onto a crowded city thoroughfare this would represent a considerable threat, but however tempting it might be in the fraught moment or reflective aftermath poetically to invest that bulldozer with either agency or intellect it is clear that nothing would be gained in the practical comprehension of the threat it poses by so doing. It is no more helpful now in an epoch of Greenhouse storms than it was for pre-scientific storytellers to invest thunder and whirlwinds with intelligence. Although Bratton makes great play over the need to overcome folkloric anthropocentrism in our figuration of and deliberation over computation, mystifying agencies and mythical personages linger on in his accounting however he insists on the alienness of “their” intelligence.

    Bratton warns us about the “infrastructural A.I.” of high-speed financial trading algorithms, Google and Amazon search algorithms, “smart” vehicles (and no doubt weaponized drones and autonomous weapons systems would count among these), and corporate-military profiling programs that oppress us with surveillance and harass us with targeted ads. I share all of these concerns, of course, but personally insist that our critical engagement with infrastructural coding is profoundly undermined when it is invested with insinuations of autonomous intelligence. In “Art in the Age of Mechanical Reproducibility,” Walter Benjamin pointed out that when philosophers talk about the historical force of art they do so with the prejudices of philosophers: they tend to write about those narrative and visual forms of art that might seem argumentative in allegorical and iconic forms that appear analogous to the concentrated modes of thought demanded by philosophy itself. Benjamin proposed that perhaps the more diffuse and distracted ways we are shaped in our assumptions and aspirations by the durable affordances and constraints of the made world of architecture and agriculture might turn out to drive history as much or even more than the pet artforms of philosophers do. Lawrence Lessig made much the same point when he declared at the turn of the millennium that “Code Is Law.”

    It is well known that special interests with rich patrons shape the legislative process and sometimes even explicitly craft legislation word for word in ways that benefit them to the cost and risk of majorities. It is hard to see how our assessment of this ongoing crime and danger would be helped and not hindered by pretending legislation is an autonomous force exhibiting an alien intelligence, rather than a constellation of practices, norms, laws, institutions, ritual and material artifice, the legacy of the historical play of intelligent actors and the site for the ongoing contention of intelligent actors here and now. To figure legislation as a beast or alien with a will of its own would amount to a fetishistic displacement of intelligence away from the actual actors actually responsible for the forms that legislation actually takes. It is easy to see why such a displacement is attractive: it profitably abets the abuses of majorities by minorities while it absolves majorities from conscious complicity in the terms of their own exploitation by laws made, after all, in our names. But while these consoling fantasies have an obvious allure this hardly justifies our endorsement of them.

    I have already written in the past about those who want to propose, as Bratton seems inclined to do in the present, that the collapse of global finance in 2008 represented the working of inscrutable artificial intelligences facilitating rapid transactions and supporting novel financial instruments of what was called by Long Boom digerati the “new economy.” I wrote:

    It is not computers and programs and autonomous techno-agents who are the protagonists of the still unfolding crime of predatory plutocratic wealth-concentration and anti-democratizing austerity. The villains of this bloodsoaked epic are the bankers and auditors and captured-regulators and neoliberal ministers who employed these programs and instruments for parochial gain and who then exonerated and rationalized and still enable their crimes. Our financial markets are not so complex we no longer understand them. In fact everybody knows exactly what is going on. Everybody understands everything. Fraudsters [are] engaged in very conventional, very recognizable, very straightforward but unprecedentedly massive acts of fraud and theft under the cover of lies.

    I have already written in the past about those who want to propose, as Bratton seems inclined to do in the present, that our discomfiture in the setting of ubiquitous algorithmic mediation results from an autonomous force over which humans intentions are secondary considerations. I wrote:

    [W]hat imaginary scene is being conjured up in this exculpatory rhetoric in which inadvertent cruelty is ‘coming from code’ as opposed to coming from actual persons? Aren’t coders actual persons, for example? … [O]f course I know what [is] mean[t by the insistence…] that none of this was ‘a deliberate assault.’ But it occurs to me that it requires the least imaginable measure of thought on the part of those actually responsible for this code to recognize that the cruelty of [one user’s] confrontation with their algorithm was the inevitable at least occasional result for no small number of the human beings who use Facebook and who live lives that attest to suffering, defeat, humiliation, and loss as well as to parties and promotions and vacations… What if the conspicuousness of [this] experience of algorithmic cruelty indicates less an exceptional circumstance than the clarifying exposure of a more general failure, a more ubiquitous cruelty? … We all joke about the ridiculous substitutions performed by autocorrect functions, or the laughable recommendations that follow from the odd purchase of a book from Amazon or an outing from Groupon. We should joke, but don’t, when people treat a word cloud as an analysis of a speech or an essay. We don’t joke so much when a credit score substitutes for the judgment whether a citizen deserves the chance to become a homeowner or start a small business, or when a Big Data profile substitutes for the judgment whether a citizen should become a heat signature for a drone committing extrajudicial murder in all of our names. [An] experience of algorithmic cruelty [may be] extraordinary, but that does not mean it cannot also be a window onto an experience of algorithmic cruelty that is ordinary. The question whether we might still ‘opt out’ from the ordinary cruelty of algorithmic mediation is not a design question at all, but an urgent political one.

    I have already written in the past about those who want to propose, as Bratton seems inclined to do in the present, that so-called Killer Robots are a threat that must be engaged by resisting or banning “them” in their alterity rather than by assigning moral and criminal responsibility on those who code, manufacture, fund, and deploy them. I wrote:

    Well-meaning opponents of war atrocities and engines of war would do well to think how tech companies stand to benefit from military contracts for ‘smarter’ software and bleeding-edge gizmos when terrorized and technoscientifically illiterate majorities and public officials take SillyCon Valley’s warnings seriously about our ‘complacency’ in the face of truly autonomous weapons and artificial super-intelligence that do not exist. It is crucial that necessary regulation and even banning of dangerous ‘autonomous weapons’ proceeds in a way that does not abet the mis-attribution of agency, and hence accountability, to devices. Every ‘autonomous’ weapons system expresses and mediates decisions by responsible humans usually all too eager to disavow the blood on their hands. Every legitimate fear of ‘killer robots’ is best addressed by making their coders, designers, manufacturers, officials, and operators accountable for criminal and unethical tools and uses of tools… There simply is no such thing as a smart bomb. Every bomb is stupid. There is no such thing as an autonomous weapon. Every weapon is deployed. The only killer robots that actually exist are human beings waging and profiting from war.

    “Arguably,” argues Bratton, “the Anthropocene itself is due less to technology run amok than to the humanist legacy that understands the world as having been given for our needs and created in our image. We hear this in the words of thought leaders who evangelize the superiority of a world where machines are subservient to the needs and wishes of humanity… This is the sentiment — this philosophy of technology exactly — that is the basic algorithm of the Anthropocenic predicament, and consenting to it would also foreclose adequate encounters with A.I.” The Anthropocene in this formulation names the emergence of environmental or planetary consciousness, an emergence sometimes coupled to the global circulation of the image of the fragility and interdependence of the whole earth as seen by humans from outer space. It is the recognition that the world in which we evolved to flourish might be impacted by our collective actions in ways that threaten us all. Notice, by the way, that multiculture and historical struggle are figured as just another “algorithm” here.

    I do not agree that planetary catastrophe inevitably followed from the conception of the earth as a gift besetting us to sustain us, indeed this premise understood in terms of stewardship or commonwealth would go far in correcting and preventing such careless destruction in my opinion. It is the false and facile (indeed infantile) conception of a finite world somehow equal to infinite human desires that has landed us and keeps us delusive ignoramuses lodged in this genocidal and suicidal predicament. Certainly I agree with Bratton that it would be wrong to attribute the waste and pollution and depletion of our common resources by extractive-industrial-consumer societies indifferent to ecosystemic limits to “technology run amok.” The problem of so saying is not that to do so disrespects “technology” — as presumably in his view no longer treating machines as properly “subservient to the needs and wishes of humanity” would more wholesomely respect “technology,” whatever that is supposed to mean — since of course technology does not exist in this general or abstract way to be respected or disrespected.

    The reality at hand is that humans are running amok in ways that are facilitated and mediated by certain technologies. What is demanded in this moment by our predicament is the clear-eyed assessment of the long-term costs, risks, and benefits of technoscientific interventions into finite ecosystems to the actual diversity of their stakeholders and the distribution of these costs, risks, and benefits in an equitable way. Quite a lot of unsustainable extractive and industrial production as well as mass consumption and waste would be rendered unprofitable and unappealing were its costs and risks widely recognized and equitably distributed. Such an understanding suggests that what is wanted is to insist on the culpability and situation of actually intelligent human actors, mediated and facilitated as they are in enormously complicated and demanding ways by technique and artifice. The last thing we need to do is invest technology-in-general or environmental-forces with alien intelligence or agency apart from ourselves.

    I am beginning to wonder whether the unavoidable and in many ways humbling recognition (unavoidable not least because of environmental catastrophe and global neoliberal precarization) that human agency emerges out of enormously complex and dynamic ensembles of interdependent/prostheticized actors gives rise to compensatory investments of some artifacts — especially digital networks, weapons of mass destruction, pandemic diseases, environmental forces — with the sovereign aspect of agency we no longer believe in for ourselves? It is strangely consoling to pretend our technologies in some fancied monolithic construal represent the rise of “alien intelligences,” even threatening ones, other than and apart from ourselves, not least because our own intelligence is an alienated one and prostheticized through and through. Consider the indispensability of pedagogical techniques of rote memorization, the metaphorization and narrativization of rhetoric in songs and stories and craft, the technique of the memory palace, the technologies of writing and reading, the articulation of metabolism and duration by timepieces, the shaping of both the body and its bearing by habit and by athletic training, the lifelong interplay of infrastructure and consciousness: all human intellect is already technique. All culture is prosthetic and all prostheses are culture.

    Bratton wants to narrate as a kind of progressive enlightenment the mystification he recommends that would invest computation with alien intelligence and agency while at once divesting intelligent human actors, coders, funders, users of computation of responsibility for the violations and abuses of other humans enabled and mediated by that computation. This investment with intelligence and divestment of responsibility he likens to the Copernican Revolution in which humans sustained the momentary humiliation of realizing that they were not the center of the universe but received in exchange the eventual compensation of incredible powers of prediction and control. One might wonder whether the exchange of the faith that humanity was the apple of God’s eye for a new technoscientific faith in which we aspired toward godlike powers ourselves was really so much a humiliation as the exchange of one megalomania for another. But what I want to recall by way of conclusion instead is that the trope of a Copernican humiliation of the intelligent human subject is already quite a familiar one:

    In his Introductory Lectures on Psychoanalysis Sigmund Freud notoriously proposed that

    In the course of centuries the naive self-love of men has had to submit to two major blows at the hands of science. The first was when they learnt that our earth was not the center of the universe but only a tiny fragment of a cosmic system of scarcely imaginable vastness. This is associated in our minds with the name of Copernicus… The second blow fell when biological research de­stroyed man’s supposedly privileged place in creation and proved his descent from the animal kingdom and his ineradicable animal nature. This revaluation has been accomplished in our own days by Darwin… though not without the most violent contemporary opposition. But human megalomania will have suffered its third and most wounding blow from the psychological research of the present time which seeks to prove to the ego that it is not even master in its own house, but must content itself with scanty information of what is going on un­consciously in the mind.

    However we may feel about psychoanalysis as a pseudo-scientific enterprise that did more therapeutic harm than good, Freud’s works considered instead as contributions to moral philosophy and cultural theory have few modern equals. The idea that human consciousness is split from the beginning as the very condition of its constitution, the creative if self-destructive result of an impulse of rational self-preservation beset by the overabundant irrationality of humanity and history, imposed a modesty incomparably more demanding than Bratton’s wan proposal in the same name. Indeed, to the extent that the irrational drives of the dynamic unconscious are often figured as a brute machinic automatism, one is tempted to suggest that Bratton’s modest proposal of alien artifactual intelligence is a fetishistic disavowal of the greater modesty demanded by the alienating recognition of the stratification of human intelligence by unconscious forces (and his moniker a symptomatic citation). What is striking about the language of psychoanalysis is the way it has been taken up to provide resources for imaginative empathy across the gulf of differences: whether in the extraordinary work of recent generations of feminist, queer, and postcolonial scholars re-orienting the project of the conspicuously sexist, heterosexist, cissexist, racist, imperialist, bourgeois thinker who was Freud to emancipatory ends, or in the stunning leaps in which Freud identified with neurotic others through psychoanalytic reading, going so far as to find in the paranoid system-building of the psychotic Dr. Schreber an exemplar of human science and civilization and a mirror in which he could see reflected both himself and psychoanalysis itself. Freud’s Copernican humiliation opened up new possibilities of responsiveness in difference out of which could be built urgently necessary responsibilities otherwise. I worry that Bratton’s Copernican modesty opens up new occasions for techno-fetishistic fables of history and disavowals of responsibility for its actual human protagonists.
    _____

    Dale Carrico is a member of the visiting faculty at the San Francisco Art Institute as well as a lecturer in the Department of Rhetoric at the University of California at Berkeley from which he received his PhD in 2005. His work focuses on the politics of science and technology, especially peer-to-peer formations and global development discourse and is informed by a commitment to democratic socialism (or social democracy, if that freaks you out less), environmental justice critique, and queer theory. He is a persistent critic of futurological discourses, especially on his Amor Mundi blog, on which an earlier version of this post first appeared.

    Back to the essay

  • Frank Pasquale — To Replace or Respect: Futurology as if People Mattered

    Frank Pasquale — To Replace or Respect: Futurology as if People Mattered

    a review of Erik Brynjolfsson and Andrew McAfee, The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies (W.W. Norton, 2014)

    by Frank Pasquale

    ~

    Business futurism is a grim discipline. Workers must either adapt to the new economic realities, or be replaced by software. There is a “race between education and technology,” as two of Harvard’s most liberal economists insist. Managers should replace labor with machines that require neither breaks nor sick leave. Superstar talents can win outsize rewards in the new digital economy, as they now enjoy global reach, but they will replace thousands or millions of also-rans. Whatever can be automated, will be, as competitive pressures make fairly paid labor a luxury.

    Thankfully, Erik Brynjolfsson and Andrew McAfee’s The Second Machine Age (2MA)  downplays these zero-sum tropes. Brynjolffson & McAfee (B&M) argue that the question of distribution of the gains from automation is just as important as the competitions for dominance it accelerates. 2MA invites readers to consider how societies will decide what type of bounty from automation they want, and what is wanted first.  The standard, supposedly neutral economic response (“whatever the people demand, via consumer sovereignty”) is unconvincing. As inequality accelerates, the top 5% (of income earners) do 35% of the consumption. The top 1% is responsible for an even more disproportionate share of investment. Its richest members can just as easily decide to accelerate the automation of the wealth defense industry as they can allocate money to robotic construction, transportation, or mining.

    A humane agenda for automation would prioritize innovations that complement (jobs that ought to be) fulfilling vocations, and substitute machines for dangerous or degrading work. Robotic meat-cutters make sense; robot day care is something to be far more cautious about. Most importantly, retarding automation that controls, stigmatizes, and cheats innocent people, or sets up arms races with zero productive gains, should be a much bigger part of public discussions of the role of machines and software in ordering human affairs.

    2MA may set the stage for such a human-centered automation agenda. Its diagnosis of the problem of rapid automation (described in Part I below) is compelling. Its normative principles (II) are eclectic and often humane. But its policy vision (III) is not up to the challenge of channeling and sequencing automation. This review offers an alternative, while acknowledging the prescience and insight of B&M’s work.

    I. Automation’s Discontents

    For B&M, the acceleration of automation ranks with the development of agriculture, or the industrial revolution, as one of the “big stories” of human history (10-12). They offer an account of the “bounty and spread” to come from automation. “Bounty” refers to the increasing “volume, variety, and velocity” of any imaginable service or good, thanks to its digital reproduction or simulation (via, say, 3-D printing or robots). “Spread” is “ever-bigger differences among people in economic success” that they believe to be just as much an “economic consequence” of automation as bounty.[1]

    2MA briskly describes various human workers recently replaced by computers.  The poor souls who once penned corporate earnings reports for newspapers? Some are now replaced by Narrative Science, which seamlessly integrates new data into ready-made templates (35). Concierges should watch out for Siri (65). Forecasters of all kinds (weather, home sales, stock prices) are being shoved aside by the verdicts of “big data” (68). “Quirky,” a startup, raised $90 million by splitting the work of making products between a “crowd” that “votes on submissions, conducts research, suggest improvements, names and brands products, and drives sales” (87), and Quirky itself, which “handles engineering, manufacturing, and distribution.” 3D printing might even disintermediate firms like Quirky (36).

    In short, 2MA presents a kaleidoscope of automation realities and opportunities. B&M skillfully describe the many ways automation both increases the “size of the pie,” economically, and concentrates the resulting bounty among the talented, the lucky, and the ruthless. B&M emphasize that automation is creeping up the value chain, potentially substituting machines for workers paid better than the average.

    What’s missing from the book are the new wave of conflicts that would arise if those at very top of the value chain (or, less charitably, the rent and tribute chain) were to be replaced by robots and algorithms. When BART workers went on strike, Silicon Valley worthies threatened to replace them with robots. But one could just as easily call for the venture capitalists to be replaced with algorithms. Indeed, one venture capital firm added an algorithm to its board in 2013.  Travis Kalanick, the CEO of Uber, responded to a question on driver wage demands by bringing up the prospect of robotic drivers. But given Uber’s multiple legal and PR fails in 2014, a robot would probably would have done a better job running the company than Kalanick.

    That’s not “crazy talk” of communistic visions along the lines of Marx’s “expropriate the expropriators,” or Chile’s failed Cybersyn.[2]  Thiel Fellow and computer programming prodigy Vitaly Bukherin has stated that automation of the top management functions at firms like Uber and AirBnB would be “trivially easy.”[3] Automating the automators may sound like a fantasy, but it is a natural outgrowth of mantras (e.g., “maximize shareholder value”) that are commonplaces among the corporate elite. To attract and retain the support of investors, a firm must obtain certain results, and the short-run paths to attaining them (such as cutting wages, or financial engineering) are increasingly narrow.  And in today’s investment environment of rampant short-termism, the short is often the only term there is.

    In the long run, a secure firm can tolerate experiments. Little wonder, then, that the largest firm at the cutting edge of automation—Google—has a secure near-monopoly in search advertising in numerous markets. As Peter Thiel points out in his recent From Zero to One, today’s capitalism rewards the best monopolist, not the best competitor. Indeed, even the Department of Justice’s Antitrust Division appeared to agree with Thiel in its 1995 guidelines on antitrust enforcement in innovation markets. It viewed intellectual property as a good monopoly, the rightful reward to innovators for developing a uniquely effective process or product. And its partner in federal antitrust enforcement, the Federal Trade Commission, has been remarkably quiescent in response to emerging data monopolies.

    II. Propertizing Data

    For B&M, intellectual property—or, at least, the returns accruing to intellectual insight or labor—plays a critical role in legitimating inequalities arising out of advanced technologies.  They argue that “in the future, ideas will be the real scarce inputs in the world—scarcer than both labor and capital—and the few who provide good ideas will reap huge rewards.”[4] But many of the leading examples of profitable automation are not “ideas” per se, or even particularly ingenious algorithms. They are brute force feats of pattern recognition: for example, Google’s studying past patterns of clicks to see what search results, and what ads, are personalized to delight and persuade each of its hundreds of millions of users. The critical advantage there is the data, not the skill in working with it.[5] Google will demur, but if they were really confident, they’d license the data to other firms, confident that others couldn’t best their algorithmic prowess.  They don’t, because the data is their critical, self-reinforcing advantage. It is a commonplace in big data literatures to say that the more data one has, the more valuable any piece of it becomes—something Googlers would agree with, as long as antitrust authorities aren’t within earshot.

    As sensors become more powerful and ubiquitous, feats of automated service provision and manufacture become more easily imaginable.  The Baxter robot, for example, merely needs to have a trainer show it how to move in order to ape the trainer’s own job. (One is reminded of the stories of US workers flying to India to train their replacements how to do their job, back in the day when outsourcing was the threat du jour to U.S. living standards.)

    how to train a robot
    How to train a Baxter robot. Image source: Inc. 

    From direct physical interaction with a robot, it is a short step to, say, programmed holographic or data-driven programming.  For example, a surveillance camera on a worker could, after a period of days, months, or years, potentially record every movement or statement of the worker, and replicate it, in response to whatever stimuli led to the prior movements or statements of the worker.

    B&M appear to assume that such data will be owned by the corporations that monitor their own workers.  For example, McDonalds could train a camera on every cook and cashier, then download the contents into robotic replicas. But it’s just as easy to imagine a legal regime where, say, workers’ rights to the data describing their movements would be their property, and firms would need to negotiate to purchase the rights to it.  If dance movements can be copyrighted, so too can the sweeps and wipes of a janitor. Consider, too, that the extraordinary advances in translation accomplished by programs like Google Translate are in part based on translations by humans of United Nations’ documents released into the public domain.[6] Had the translators’ work not been covered by “work-made-for-hire” or similar doctrines, they might well have kept their copyrights, and shared in the bounty now enjoyed by Google.[7]

    Of course, the creativity of translation may be greater than that displayed by a janitor or cashier. Copyright purists might thus reason that the merger doctrine denies copyrightability to the one best way (or small suite of ways) of doing something, since the idea of the movement and its expression cannot be separated. Grant that, and one could still imagine privacy laws giving workers the right to negotiate over how, and how pervasively, they are watched. There are myriad legal regimes governing, in minute detail, how information flows and who has control over it.

    I do not mean to appropriate here Jaron Lanier’s ideas about micropayments, promising as they may be in areas like music or journalism. A CEO could find some critical mass of stockers or cooks or cashiers to mimic even if those at 99% of stores demanded royalties for the work (of) being watched. But the flexibility of legal regimes of credit, control, and compensation is under-recognized. Living in a world where employers can simply record everything their employees do, or Google can simply copy every website that fails to adopt “robots.txt” protection, is not inevitable. Indeed, according to renowned intellectual property scholar Oren Bracha, Google had to “stand copyright on its head” to win that default.[8]

    Thus B&M are wise to acknowledge the contestability of value in the contemporary economy.  For example, they build on the work of MIT economists Daron Acemoglu and David Autor to demonstrate that “skill biased technical change” is a misleading moniker for trends in wage levels.  The “tasks that machines can do better than humans” are not always “low-skill” ones (139). There is a fair amount of play in the joints in the sequencing of automation: sometimes highly skilled workers get replaced before those with a less complex and difficult-to-learn repertoire of abilities.  B&M also show that the bounty predictably achieved via automation could compensate the “losers” (of jobs or other functions in society) in the transition to a more fully computerized society. By seriously considering the possibility of a basic income (232), they evince a moral sensibility light years ahead of the “devil-take-the-hindmost” school of cyberlibertarianism.

    III. Proposals for Reform

    Unfortunately, some of B&M’s other ideas for addressing the possibility of mass unemployment in the wake of automation are less than convincing.  They praise platforms like Lyft for providing new opportunities for work (244), perhaps forgetting that, earlier in the book, they described the imminent arrival of the self-driving car (14-15). Of course, one can imagine decades of tiered driving, where the wealthy get self-driving cars first, and car-less masses turn to the scrambling drivers of Uber and Lyft to catch rides. But such a future seems more likely to end in a deflationary spiral than  sustainable growth and equitable distribution of purchasing power. Like the generation traumatized by the Great Depression, millions subjected to reverse auctions for their labor power, forced to price themselves ever lower to beat back the bids of the technologically unemployed, are not going to be in a mood to spend. Learned helplessness, retrenchment, and miserliness are just as likely a consequence as buoyant “re-skilling” and self-reinvention.

    Thus B&M’s optimism about what they call the “peer economy” of platform-arranged production is unconvincing.  A premier platform of digital labor matching—Amazon’s Mechanical Turk—has occasionally driven down the wage for “human intelligence tasks” to a penny each. Scholars like Trebor Scholz and Miriam Cherry have discussed the sociological and legal implications of platforms that try to disclaim all responsibility for labor law or other regulations. Lilly Irani’s important review of 2MA shows just how corrosive platform capitalism has become. “With workers hidden in the technology, programmers can treat [them] like bits of code and continue to think of themselves as builders, not managers,” she observes in a cutting aside on the self-image of many “maker” enthusiasts.

    The “sharing economy” is a glidepath to precarity, accelerating the same fate for labor in general as “music sharing services” sealed for most musicians. The lived experience of many “TaskRabbits,” which B&M boast about using to make charts for their book, cautions against reliance on disintermediation as a key to opportunity in the new digital economy. Sarah Kessler describes making $1.94 an hour labeling images for a researcher who put the task for bid on Mturk.  The median active TaskRabbit in her neighborhood made $120 a week; Kessler cleared $11 an hour on her best day.

    Resistance is building, and may create fairer terms online.  For example, Irani has helped develop a “Turkopticon” to help Turkers rate and rank employers on the site. Both Scholz and Mike Konczal have proposed worker cooperatives as feasible alternatives to Uber, offering drivers both a fairer share of revenues, and more say in their conditions of work. But for now, the peer economy, as organized by Silicon Valley and start-ups, is not an encouraging alternative to traditional employment. It may, in fact, be worse.

    Therefore, I hope B&M are serious when they say “Wild Ideas [are] Welcomed” (245), and mention the following:

    • Provide vouchers for basic necessities. . . .
    • Create a national mutual fund distributing the ownership of capital widely and perhaps inalienably, providing a dividend stream to all citizens and assuring the capital returns do not become too highly concentrated.
    • Depression-era Civilian Conservation Corps to clean up the environment, build infrastructure.

    Speaking of the non-automatable, we could add the Works Progress Administration (WPA) to the CCC suggestion above.  Revalue the arts properly, and the transition may even add to GDP.

    Soyer, Artists on the WPA
    Moses Soyer, “Artists on WPA” (1935). Image source: Smithsonian American Art Museum

    Unfortunately, B&M distance themselves from the ideas, saying, “we include them not necessarily to endorse them, but instead to spur further thinking about what kinds of interventions will be necessary as machines continue to race ahead” (246).  That is problematic, on at least two levels.

    First, a sophisticated discussion of capital should be at the core of an account of automation,  not its periphery. The authors are right to call for greater investment in education, infrastructure, and basic services, but they need a more sophisticated account of how that is to be arranged in an era when capital is extraordinarily concentrated, its owners have power over the political process, and most show little to no interest in long-term investment in the skills and abilities of the 99%. Even the purchasing power of the vast majority of consumers is of little import to those who can live off lightly taxed capital gains.

    Second, assuming that “machines continue to race ahead” is a dodge, a refusal to name the responsible parties running the machines.  Someone is designing and purchasing algorithms and robots. Illah Reza Nourbaksh’s Robot Futures suggests another metaphor:

    Today most nonspecialists have little say in charting the role that robots will play in our lives.  We are simply watching a new version of Star Wars scripted by research and business interests in real time, except that this script will become our actual world. . . . Familiar devices will become more aware, more interactive and more proactive; and entirely new robot creatures will share our spaces, public and private, physical and digital. . . .Eventually, we will need to read what they write, we will have to interact with them to conduct our business transactions, and we will often mediate our friendships through them.  We will even compete with them in sports, at jobs, and in business. [9]

    Nourbaksh nudges us closer to the truth, focusing on the competitive angle. But the “we” he describes is also inaccurate. There is a group that will never have to “compete” with robots at jobs or in business—rentiers. Too many of them are narrowly focused on how quickly they can replace needy workers with undemanding machines.

    For the rest of us, another question concerning automation is more appropriate: how much can we be stuck with? A black-card-toting bigshot will get the white glove treatment from AmEx; the rest are shunted into automated phone trees. An algorithm determines the shifts of retail and restaurant workers, oblivious to their needs for rest, a living wage, or time with their families.  Automated security guards, police, and prison guards are on the horizon. And for many of the “expelled,” the homines sacres, automation is a matter of life and death: drone technology can keep small planes on their tracks for hours, days, months—as long as it takes to execute orders.

    B&M focus on “brilliant technologies,” rather than the brutal or bumbling instances of automation.  It is fun to imagine a souped-up Roomba making the drudgery of housecleaning a thing of the past.  But domestic robots have been around since 2000, and the median wage-earner in the U.S. does not appear to be on a fast track to a Jetsons-style life of ease.[10] They are just as likely to be targeted by the algorithms of the everyday, as they are to be helped by them. Mysterious scoring systems routinely stigmatize persons, without them even knowing. They reflect the dark side of automation—and we are in the dark about them, given the protections that trade secrecy law affords their developers.

    IV. Conclusion

    Debates about robots and the workers “struggling to keep up” with them are becoming stereotyped and stale. There is the standard economic narrative of “skill-biased technical change,” which acts more as a tautological, post hoc, retrodictive, just-so story than a coherent explanation of how wages are actually shifting. There is cyberlibertarian cornucopianism, as Google’s Ray Kurzweil and Eric Schmidt promise there is nothing to fear from an automated future. There is dystopianism, whether intended as a self-preventing prophecy, or entertainment. Each side tends to talk past the other, taking for granted assumptions and values that its putative interlocutors reject out of hand.

    Set amidst this grim field, 2MA is a clear advance. B&M are attuned to possibilities for the near and far future, and write about each in accessible and insightful ways.  The authors of The Second Machine Age claim even more for it, billing it as a guide to epochal change in our economy. But it is better understood as the kind of “big idea” book that can name a social problem, underscore its magnitude, and still dodge the elaboration of solutions controversial enough to scare off celebrity blurbers.

    One of 2MA’s blurbers, Clayton Christensen, offers a backhanded compliment that exposes the core weakness of the book. “[L]earners and teachers alike are in a perpetual mode of catching up with what is possible. [The Second Machine Age] frames a future that is genuinely exciting!” gushes Christensen, eager to fold automation into his grand theory of disruption. Such a future may be exciting for someone like Christensen, a millionaire many times over who won’t lack for food, medical care, or housing if his forays fail. But most people do not want to be in “perpetually catching up” mode. They want secure and stable employment, a roof over their heads, decent health care and schooling, and some other accoutrements of middle class life. Meaning is found outside the economic sphere.

    Automation could help stabilize and cheapen the supply of necessities, giving more persons the time and space to enjoy pursuits of their own choosing. Or it could accelerate arms races of various kinds: for money, political power, armaments, spying, stock trading. As long as purchasing power alone—whether of persons or corporations—drives the scope and pace of automation, there is little hope that the “brilliant technologies” B&M describe will reliably lighten burdens that the average person experiences. They may just as easily entrench already great divides.

    All too often, the automation literature is focused on replacing humans, rather than respecting their hopes, duties, and aspirations. A central task of educators, managers, and business leaders should be finding ways to complement a workforce’s existing skills, rather than sweeping that workforce aside. That does not simply mean creating workers with skill sets that better “plug into” the needs of machines, but also, doing the opposite: creating machines that better enhance and respect the abilities and needs of workers.  That would be a “machine age” welcoming for all, rather than one calibrated to reflect and extend the power of machine owners.

    _____

    Frank Pasquale (@FrankPasquale) is a Professor of Law at the University of Maryland Carey School of Law. His recent book, The Black Box Society: The Secret Algorithms that Control Money and Information (Harvard University Press, 2015), develops a social theory of reputation, search, and finance.  He blogs regularly at Concurring Opinions. He has received a commission from Triple Canopy to write and present on the political economy of automation. He is a member of the Council for Big Data, Ethics, and Society, and an Affiliate Fellow of Yale Law School’s Information Society Project. He is a frequent contributor to The b2 Review Digital Studies section.

    Back to the essay
    _____

    [1] One can quibble with the idea of automation as necessarily entailing “bounty”—as Yves Smith has repeatedly demonstrated, computer systems can just as easily “crapify” a process once managed well by humans. Nor is “spread” a necessary consequence of automation; well-distributed tools could well counteract it. It is merely a predictable consequence, given current finance and business norms and laws.

    [2] For a definition of “crazy talk,” see Neil Postman, Stupid Talk, Crazy Talk: How We Defeat Ourselves by the Way We Talk and What to Do About It (Delacorte, 1976). For Postman, “stupid talk” can be corrected via facts, whereas “crazy talk” “establishes different purposes and functions than the ones we normally expect.” If we accept the premise of labor as a cost to be minimized, what better to cut than the compensation of the highest paid persons?

    [3] Conversation with Sam Frank at the Swiss Institute, Dec. 16, 2014, sponsored by Triple Canopy.

    [4] In Brynjolfsson, McAfee, and Michael Spence, “New World Order: Labor, Capital, and Ideas in the Power Law Economy,” an article promoting the book. Unfortunately, as with most statements in this vein, B&M&S give us little idea how to identify a “good idea” other than one that “reap[s] huge rewards”—a tautology all too common in economic and business writing.

    [5] Frank Pasquale, The Black Box Society (Harvard University Press, 2015).

    [6] Programs, both in the sense of particular software regimes, and the program of human and technical efforts to collect and analyze the translations that were the critical data enabling the writing of the software programs behind Google Translate.

    [9] Illah Reza Nourbaksh, Robot Futures (MIT Press, 2013), pp. xix-xx.

    [10] Erwin Prassler and Kazuhiro Kosuge, “Domestic Robotics,” in Bruno Siciliano and Oussama Khatib, eds., Springer Handbook of Robotics (Springer, 2008), p. 1258.

  • Drones

    Drones

    8746586571_471353116d_bDavid Golumbia and David Simpson begin a conversation, inviting comment below or via email to boundary 2:

    What are we talking about when we talk about drones? Is it that they carry weapons (true of only a small fraction of UAVs), that they have remote, mobile surveillance capabilities (true of most UAVs, but also of many devices not currently thought of as drones), or that they have or may someday have forms of operational autonomy (a goal of many forms of robotics research)? Is it the technology itself, or the fact that it is currently being deployed largely by the world’s dominant powers, or the way it is being deployed? Is it the use of drones in specific military contexts, or the existence of those military conflicts per se (that is, if we endorsed a particular conflict, would the use of drones in that scenario be acceptable)? Is it that military use of drones leads to civilian casualties, despite the fact that other military tactics almost certainly lead to many more casualties (the total number of all persons, combatant and non-combatant, killed by drones to date by US operations worldwide is estimated at under 4000; the number of civilian casualties in the Iraq conflict alone even by conservative estimates exceeds 100,000 and may be as many as 500,000 or even more), a reduction in total casualties that forms part of the arguments used by some military and international law analysts to suggest that drone use is not merely acceptable but actually required under international law, which mandates that militaries use the least amount of lethal force available to them that will effectively achieve their goals? If we object to drones based on their use in targeted killings, do we accept their use for surveillance? If we object only to their use in targeted killing, does that objection proceed from the fact that drones fly, or do we actually object to all forms of automated or partly-automated lethal force, along the lines of the Stop Killer Robots campaign, whose scope goes well beyond drones, and yet does not include non-lethal drones? How do we define drones so as to capture what is objectionable about them on humanitarian and civil society grounds, given how rapidly the technology is advancing and how difficult it already is to distinguish some drones from other forms of technology, especially for surveillance? What do we do about the proliferating “positive” use cases for drones (journalism, remote information about forest fires and other environmental problems, for example), which are clearly being developed in part so as to sell drone technology in general to the public, but at least in some cases appear to describe vital functions that other technology cannot fulfill?

    David Golumbia

    _____

    What resources can we call upon, invent or reinvent in order to bring effective critical attention to the phenomenon of drone warfare? Can we revivify the functions of witness and testimony to protest or to curtail the spread of robotic lethal violence? What alliances can be pursued with the radical journalism sector (Medea Benjamin, Jeremy Scahill)? Is drone warfare inevitably implicated in a seamlessly continuous surveillance culture wherein all information is or can be weaponized? A predictable development in the command-control-communication-intelligence syndrome articulated some time ago by Donna Haraway? Can we hope to devise any enforceable boundaries between positive and destructive uses of the technology? Does it bring with it a specific aesthetics, whether for those piloting the drones or those on the receiving end? What is the profile of psychological effects (disorders?) among those observing and then killing at a distance? And what are the political obligations of a Congress and a Presidency able to turn to drone technology as arguably the most efficient form yet devised for deploying state terrorism? What are the ethical obligations of a superpower (or indeed a local power) that can now wage war with absolutely no risk to its own combatants?

    David Simpson