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  • Cultivating Reform and Revolution

    Cultivating Reform and Revolution

    The Fragility of Things: Self-Organizing Processes, Neoliberal Fantasies, and Democratic Activism (Duke University Press, 2013)a review of William E. Connolly, The Fragility of Things: Self-Organizing Processes, Neoliberal Fantasies, and Democratic Activism (Duke University Press, 2013)
    by Zachary Loeb
    ~

    Mountains and rivers, skyscrapers and dams – the world is filled with objects and structures that appear sturdy. Glancing upwards at a skyscraper, or mountain, a person may know that these obelisks will not remain eternally unchanged, but in the moment of the glance we maintain a certain casual confidence that they are not about to crumble suddenly. Yet skyscrapers collapse, mountains erode, rivers run dry or change course, and dams crack under the pressure of the waters they hold. Even equipped with this knowledge it is still tempting to view such structures as enduringly solid. Perhaps the residents of Lisbon, in November of 1755, had a similar faith in the sturdiness of the city they had built, a faith that was shattered in an earthquake – and aftershocks – that demonstrated all too terribly the fragility at the core of all physical things.

    The Lisbon earthquake, along with its cultural reverberations, provides the point of entry for William E. Connolly’s discussion of neoliberalism, ecology, activism, and the deceptive solidness of the world in his book The Fragility of Things. Beyond its relevance as an example of the natural tremors that can reduce the built world into rubble, the Lisbon earthquake provides Connolly (the Krieger-Eisenhower Professor of Political Science at the Johns Hopkins University), a vantage point from which to mark out and critique a Panglossian worldview he sees as prominent in contemporary society. No doubt, were Voltaire’s Pangloss alive today, he could find ready employment as an apologist for neoliberalism (perhaps as one of Silicon Valley’s evangelists). Like Panglossian philosophy, neoliberalism “acknowledges many evils and treats them as necessary effects” (6).

    Though the world has changed significantly since the mid-18th century during which Voltaire wrote, humanity remains assaulted by events that demonstrate the world’s fragility. Connolly councils against the withdrawal to which the protagonists of Candide finally consign themselves while taking up the famous trope Voltaire develops for that withdrawal; today we “cultivate our gardens” in a world in which the future of all gardens is uncertain. Under the specter of climate catastrophe, “to cultivate our gardens today means to engage the multiform relations late capitalism bears to the entire planet” (6). Connolly argues for an “ethic of cultivation” that can show “both how fragile the ethical life is and how important it is to cultivate it” (17). “Cultivation,” as developed in The Fragility of Things, stands in opposition to withdrawal. Instead it entails serious, ethically guided, activist engagement with the world – for us to recognize the fragility of natural, and human-made, systems (Connolly uses the term “force-fields”) and to act to protect this “fragility” instead of celebrating neoliberal risks that render the already precarious all the more tenuous.

    Connolly argues that when natural disasters strike, and often in their wake set off rippling cascades of additional catastrophes, they exemplify the “spontaneous order” so beloved by neoliberal economics. Under neoliberalism, the market is treated as though it embodies a uniquely omniscient, self-organizing and self-guiding principle. Yet the economic system is not the only one that can be described this way: “open systems periodically interact in ways that support, amplify, or destabilize one another” (25). Even in the so-called Anthropocene era the ecosystem, much to humanity’s chagrin, can still demonstrate creative and unpredictable potentialities. Nevertheless, the ideological core of neoliberalism relies upon celebrating the market’s self-organizing capabilities whilst ignoring the similar capabilities of governments, the public sphere, or the natural world. The ascendancy of neoliberalism runs parallel with an increase in fragility as economic inequality widens and as neoliberalism treats the ecosystem as just another profit source. Fragility is everywhere today, and though the cracks are becoming increasingly visible, it is still given – in Connolly’s estimation – less attention than is its due, even in “radical theory.” On this issue Connolly wonders if perhaps “radical theorists,” and conceivably radical activists, “fear that coming to terms with fragility would undercut the political militancy needed to respond to it?” (32). Yet Connolly sees no choice but to “respond,” envisioning a revitalized Left that can take action with a mixture of advocacy for immediate reforms while simultaneously building towards systemic solutions.

    Critically engaging with the thought of core neoliberal thinker and “spontaneous order” advocate Friedrich Hayek, Connolly demonstrates the way in which neoliberal ideology has been inculcated throughout society, even and especially amongst those whose lives have been made more fragile by neoliberalism: “a neoliberal economy cannot sustain itself unless it is supported by a self-conscious ideology internalized by most participants that celebrates the virtues of market individualism, market autonomy and a minimal state” (58). An army of Panglossian commentators must be deployed to remind the wary watchers that everything is for the best. That a high level of state intervention may be required to bolster and disseminate this ideology, and prop up neoliberalism, is wholly justified in a system that recognizes only neoliberalism as a source for creative self-organizing processes, indeed “sometimes you get the impression that ‘entrepreneurs’ are the sole paradigms of creativity in the Hayekian world” (66). Resisting neoliberalism, for Connolly, requires remembering the sources of creativity that occur outside of a market context and seeing how these other systems demonstrate self-organizing capacities.

    Within neoliberalism the market is treated as the ethical good, but Connolly works to counter this with “an ethic of cultivation” which works not only against neoliberalism but against certain elements of Kant’s philosophy. In Connolly’s estimation Kantian ethics provide some of the ideological shoring up for neoliberalism, as at times “Kant both prefigures some existential demands unconsciously folded into contemporary neoliberalism and reveals how precarious they in fact are. For he makes them postulates” (117). Connolly sees a certain similarity between the social conditioning that Kant saw as necessary for preparing the young to “obey moral law” and the ideological conditioning that trains people for life under neoliberalism – what is shared is a process by which a self-organizing system must counter people’s own self-organizing potential by organizing their reactions. Furthermore “the intensity of cultural desires to invest hopes in the images of self-regulating interest within markets and/or divine providence wards off acknowledgment of the fragility of things” (118). Connolly’s “ethic of cultivation” appears as a corrective to this ethic of inculcation – it features “an element of tragic possibility within it” (133) which is the essential confrontation with the “fragility” that may act as a catalyst for a new radical activism.

    In the face of impending doom neoliberalism will once more have an opportunity to demonstrate its creativity even as this very creativity will have reverberations that will potentially unleash further disasters. Facing the possible catastrophe means that “we may need to recraft the long debate between secular, linear, and deterministic images of the world on the one hand and divinely touched, voluntarist, providential, and/or punitive images on the other” (149). Creativity, and the potential for creativity, is once more essential – as it is the creativity in multiple self-organizing systems that has created the world, for better or worse, around us today. Bringing his earlier discussions of Kant into conversation with the thought of Whitehead and Nietzsche, Connolly further considers the place of creative processes in shaping and reshaping the world. Nietzsche, in particular, provides Connolly with a way to emphasize the dispersion of creativity by removing the province of creativity from the control of God to treat it as something naturally recurring across various “force-fields.” A different demand thus takes shape wherein “we need to slow down and divert human intrusions into various planetary force fields, even as we speed up efforts to reconstitute the identities, spiritualities, consumption practices, market faiths, and state policies entangled with them” (172) though neoliberalism knows but one speed: faster.

    An odd dissonance occurs at present wherein people are confronted with the seeming triumph of neoliberal capitalism (one can hear the echoes of “there is no alternative”) and the warnings pointing to the fragility of things. In this context, for Connolly, withdrawal is irresponsible, it would be to “cultivate a garden” when what is needed is an “ethic of cultivation.” Neoliberal capitalism has trained people to accept the strictures of its ideology, but now is a time when different roles are needed; it is a time to become “role experimentalists” (187). Such experiments may take a variety of forms that run the gamut from “reformist” to “revolutionary” and back again, but the process of such experimentation can break the training of neoliberalism and demonstrate other ways of living, interacting, being and having. Connolly does not put forth a simple solution for the challenges facing humanity, instead he emphasizes how recognizing the “fragility of things” allows for people to come to terms with these challenges. After all, it may be that neoliberalism only appears so solid because we have forgotten that it is not actually a naturally occurring mountain but a human built pyramid – and our backs are its foundation.

    * * *

    In the “First Interlude,” on page 45, Connolly poses a question that haunts the remainder of The Fragility of Things, the question – asked in the midst of a brief discussion of the 2011 Lars von Trier film Melancholia – is, “How do you prepare for the end of the world?” It is the sort of disarming and discomforting question that in its cold honesty forces readers to face a conclusion they may not want to consider. It is a question that evokes the deceptively simple acronym FRED (Facing the Reality of Extinction and Doom). And yet there is something refreshing in the question – many have heard the recommendations about what must be done to halt climate catastrophe, but how many believe these steps will be taken? Indeed, even though Connolly claims “we need to slow down” there are also those who, to the contrary, insist that what is needed is even greater acceleration. Granted, Connolly does not pose this question on the first page of his book, and had he done so The Fragility of Things could have easily appeared as a dismissible dirge. Wisely, Connolly recognizes that “a therapist, a priest, or a philosopher might stutter over such questions. Even Pangloss might hesitate” (45); one of the core strengths of The Fragility of Things is that it does not “stutter over such questions” but realizes that such questions require an honest reckoning. Which includes being willing to ask “How do you prepare for the end of the world?”

    William Connolly’s The Fragility of Things is both ethically and intellectually rigorous, demanding readers perceive the “fragility” of the world around them even as it lays out the ways in which the world around them derives its stability from making that very fragility invisible. Though it may seem that there are relatively simple concerns at the core of The Fragility of Things Connolly never succumbs to simplistic argumentation – preferring the fine-toothed complexity that allows moments of fragility to be fully understood. The tone and style of The Fragility of Things feels as though it assumes its readership will consist primarily of academics, activists, and those who see themselves as both. It is a book that wastes no time trying to convince its reader that “climate change is real” or “neoliberalism is making things worse,” and the book is more easily understood if a reader begins with at least a basic acquaintance with the thought of Hayek, Kant, Whitehead, and Nietzsche. Even if not every reader of The Fragility of Things has dwelled for hours upon the question of “How do you prepare for the end of the world?” the book seems to expect that this question lurks somewhere in the subconscious of the reader.

    Amidst Connolly’s discussions of ethics, fragility and neoliberalism, he devotes much of the book to arguing for the need for a revitalized, active, and committed Left – one that would conceivably do more than hold large marches and then disappear. While Connolly cautions against “giving up” on electoral politics he does evince a distrust for US party politics; to the extent that Connolly appears to be a democrat it is a democrat with a lowercase d. Drawing inspiration from the wave of protests in and around 2011 Connolly expresses the need for a multi-issue, broadly supported, international (and internationalist) Left that can organize effectively to win small-scale local reforms while building the power to truly challenge the grip of neoliberalism. The goal, as Connolly envisions it, is to eventually “mobilize enough collective energy to launch a general strike simultaneously in several countries in the near future” even as Connolly remains cognizant of threats that “the emergence of a neofascist or mafia-type capitalism” can pose (39). Connolly’s focus on the, often slow, “traditional” activist strategies of organizing should not be overlooked, as his focus on mobilizing large numbers of people acts as a retort to a utopian belief that “technology will fix everything.” The “general strike” as the democratic response once electoral democracy has gone awry is a theme that Connolly concludes with as he calls for his readership to take part in helping to bring together “a set of interacting minorities in several countries for the time when we coalesce around a general strike launched in several states simultaneously” (195). Connolly emphasizes the types of localized activism and action that are also necessary, but “the general strike” is iconic as the way to challenge neoliberalism. In emphasizing the “the general strike” Connolly stakes out a position in which people have an obligation to actively challenge existing neoliberalism, waiting for capitalism to collapse due to its own contradictions (and trying to accelerate these contradictions) does not appear as a viable tactic.

    All of which raises something of prickly question for The Fragility of Things: which element of the book strikes the reader as more outlandish, the question of how to prepare for the end of the world, or the prospect of a renewed Left launching “a general strike…in the near future”? This question is not asked idly or as provocation; and the goal here is in no way to traffic in Leftist apocalyptic romanticism. Yet experience in current activism and organizing does not necessarily imbue one with great confidence in the prospect of a city-wide general strike (in the US) to say nothing of an international one. Activists may be acutely aware of the creative potentials and challenges faced by repressed communities, precarious labor, the ecosystem, and so forth – but these same activists are aware of the solidity of militarized police forces, a reactionary culture industry, and neoliberal dominance. Current, committed, activists’ awareness of the challenges they face makes it seem rather odd that Connolly suggests that radical theorists have ignored “fragility.” Indeed many radical thinkers, or at least some (Grace Lee Boggs and Franco “Bifo” Berardi, to name just two) seem to have warned consistently of “fragility” – even if they do not always use that exact term. Nevertheless, here the challenge may not be the Sisyphean work of activism but the rather cynical answer many, non-activists, give to the question of “How does one prepare for the end of the world?” That answer? Download some new apps, binge watch a few shows, enjoy the sci-fi cool of the latest gadget, and otherwise eat, drink and be merry because we’ll invent something to solve tomorrow’s problems next week. Neoliberalism has trained people well.

    That answer, however, is the type that Connolly seems to find untenable, and his apparent hope in The Fragility of Things is that most readers will also find this answer unacceptable. Thus Connolly’s “ethic of cultivation” returns and shows its value again. “Our lives are messages” (185) Connolly writes and thus the actions that an individual takes to defend “fragility” and oppose neoliberalism act as a demonstration to others that different ways of being are possible.

    What The Fragility of Things makes clear is that an “ethic of cultivation” is not a one-off event but an ongoing process – cultivating a garden, after all, is something that takes time. Some gardens require years of cultivation before they start to bear fruit.

    _____

    Zachary Loeb is a writer, activist, librarian, and terrible accordion player. He earned his MSIS from the University of Texas at Austin, and is currently working towards an MA in the Media, Culture, and Communications department at NYU. His research areas include media refusal and resistance to technology, ethical implications of technology, infrastructure and e-waste, as well as the intersection of library science with the STS field. Using the moniker “The Luddbrarian,” Loeb writes at the blog Librarian Shipwreck. He is a frequent contributor to The b2 Review Digital Studies section.

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  • 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.

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    [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.

  • Teacher Wars and Teaching Machines

    Teacher Wars and Teaching Machines

    teacher warsa review of Dana Goldstein, The Teacher Wars: A History of America’s Most Embattled Profession (Doubleday, 2014)
    by Audrey Watters
    ~

    Teaching is, according to the subtitle of education journalist Dana Goldstein’s new book, “America’s Most Embattled Profession.” “No other profession,” she argues, ”operates under this level of political scrutiny, not even those, like policing or social work, that are also tasked with public welfare and are paid for with public funds.”

    That political scrutiny is not new. Goldstein’s book The Teacher Wars chronicles the history of teaching at (what has become) the K–12 level, from the early nineteenth century and “common schools” — that is, before before compulsory education and public school as we know it today — through the latest Obama Administration education policies. It’s an incredibly well-researched book that moves from the feminization of the teaching profession to the recent push for more data-driven teacher evaluation, observing how all along the way, teachers have been deemed ineffectual in some way or another — failing to fulfill whatever (political) goals the public education system has demanded be met, be those goals be economic, civic, or academic.

    As Goldstein describes it, public education is a labor issue; and it has been, it’s important to note, since well before the advent of teacher unions.

    The Teacher Wars and Teaching Machines

    To frame education this way — around teachers and by extension, around labor — has important implications for ed-tech. What happens if we examine the history of teaching alongside the history of teaching machines? As I’ve argued before, the history of public education in the US, particularly in the 20th century, is deeply intertwined with various education technologies – film, TV, radio, computers, the Internet – devices that are often promoted as improving access or as making an outmoded system more “modern.” But ed-tech is frequently touted too as “labor-saving” and as a corrective to teachers’ inadequacies and inefficiencies.

    It’s hardly surprising, in this light, that teachers have long looked with suspicion at new education technologies. With their profession constantly under attack, many teacher are worried no doubt that new tools are poised to replace them. Much is said to quiet these fears, with education reformers and technologists insisting again and again that replacing teachers with tech is not the intention.

    And yet the sentiment of science fiction writer Arthur C. Clarke probably does resonate with a lot of people, as a line from his 1980 Omni Magazine article on computer-assisted instruction is echoed by all sorts of pundits and politicians: “Any teacher who can be replaced by a machine should be.”

    Of course, you do find people like former Washington DC mayor Adrian Fenty – best known arguably via his school chancellor Michelle Rhee – who’ll come right out and say to a crowd of entrepreneurs and investors, “If we fire more teachers, we can use that money for more technology.”

    So it’s hard to ignore the role that technology increasingly plays in contemporary education (labor) policies – as Goldstein describes them, the weakening of teachers’ tenure protections alongside an expansion of standardized testing to measure “student learning,” all in the service finding and firing “bad teachers.” The growing data collection and analysis enabled by schools’ adoption of ed-tech feeds into the politics and practices of employee surveillance.

    Just as Goldstein discovered in the course of writing her book that the current “teacher wars” have a lengthy history, so too does ed-tech’s role in the fight.

    As Sidney Pressey, the man often credited with developing the first teaching machine, wrote in 1933 (from a period Goldstein links to “patriotic moral panics” and concerns about teachers’ political leanings),

    There must be an “industrial revolution” in education, in which educational science and the ingenuity of educational technology combine to modernize the grossly inefficient and clumsy procedures of conventional education. Work in the schools of the school will be marvelously though simply organized, so as to adjust almost automatically to individual differences and the characteristics of the learning process. There will be many labor-saving schemes and devices, and even machines — not at all for the mechanizing of education but for the freeing of teacher and pupil from the educational drudgery and incompetence.

    Or as B. F. Skinner, the man most associated with the development of teaching machines, wrote in 1953 (one year before the landmark Brown v Board of Education),

    Will machines replace teachers? On the contrary, they are capital equipment to be used by teachers to save time and labor. In assigning certain mechanizable functions to machines, the teacher emerges in his proper role as an indispensable human being. He may teach more students than heretofore — this is probably inevitable if the world-wide demand for education is to be satisfied — but he will do so in fewer hours and with fewer burdensome chores.

    These quotations highlight the longstanding hopes and fears about teaching labor and teaching machines; they hint too at some of the ways in which the work of Pressey and Skinner and others coincides with what Goldstein’s book describes: the ongoing concerns about teachers’ politics and competencies.

    The Drudgery of School

    One of the things that’s striking about Skinner and Pressey’s remarks on teaching machines, I think, is that they recognize the “drudgery” of much of teachers’ work. But rather than fundamentally change school – rather than ask why so much of the job of teaching entails “burdensome chores” – education technology seems more likely to offload that drudgery to machines. (One of the best contemporary examples of this perhaps: automated essay grading.)

    This has powerful implications for students, who – let’s be honest – suffer through this drudgery as well.

    Goldstein’s book doesn’t really address students’ experiences. Her history of public education is focused on teacher labor more than on student learning. As a result, student labor is missing from her analysis. This isn’t a criticism of the book; and it’s not just Goldstein that does this. Student labor in the history of public education remains largely under-theorized and certainly underrepresented. Cue AFT president Al Shanker’s famous statement: “Listen, I don’t represent children. I represent the teachers.”

    But this question of student labor seems to be incredibly important to consider, particularly with the growing adoption of education technologies. Students’ labor – students’ test results, students’ content, students’ data – feeds the measurements used to reward or punish teachers. Students’ labor feeds the algorithms – algorithms that further this larger narrative about teacher inadequacies, sure, and that serve to financially benefit technology, testing, and textbook companies, the makers of today’s “teaching machines.”

    Teaching Machines and the Future of Collective Action

    The promise of teaching machines has long been to allow students to move “at their own pace” through the curriculum. “Personalized learning,” it’s often called today (although the phrase often refers only to “personalization” in terms of the pace, not in terms of the topics of inquiry). This means, supposedly, that instead of whole class instruction, the “work” of teaching changes: in the words of one education reformer, “with the software taking up chores like grading math quizzes and flagging bad grammar, teachers are freed to do what they do best: guide, engage, and inspire.”

    Again, it’s not clear how this changes the work of students.

    So what are the implications – not just pedagogically but politically – of students, their headphones on staring at their individual computer screens working alone through various exercises? Because let’s remember: teaching machines and all education technologies are ideological. What are the implications – not just pedagogically but politically – of these technologies’ emphasis on individualism, self-management, personal responsibility, and autonomy?

    What happens to discussion and debate, for example, in a classroom of teaching machines and “personalized learning”? What happens, in a world of schools catered to individual student achievement, to the community development that schools (at their best, at least) are also tasked to support?

    What happens to organizing? What happens to collective action? And by collectivity here, let’s be clear, I don’t mean simply “what happens to teachers’ unions”? If we think about The Teacher Wars and teaching machines side-by-side, we should recognize our analysis of (our actions surrounding) the labor issues of school need to go much deeper and more farther than that.

    _____

    Audrey Watters is a writer who focuses on education technology – the relationship between politics, pedagogy, business, culture, and ed-tech. She has worked in the education field for over 15 years: teaching, researching, organizing, and project-managing. Although she was two chapters into her dissertation (on a topic completely unrelated to ed-tech), she decided to abandon academia, and she now happily fulfills the one job recommended to her by a junior high aptitude test: freelance writer. Her stories have appeared on NPR/KQED’s education technology blog MindShift, in the data section of O’Reilly Radar, on Inside Higher Ed, in The School Library Journal, in The Atlantic, on ReadWriteWeb, and Edutopia. She is the author of the recent book The Monsters of Education Technology (Smashwords, 2014) and working on a book called Teaching Machines. She maintains the widely-read Hack Education blog, on which an earlier version of this review first appeared.

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