New APPS: Art, Politics, Philosophy, Science

Can Datasets be Governed Like Public Utilities?

By Gordon Hull

Machine Learning (ML) applications learn by repetition.  That is, they come to recognize what, say, a chair looks like, by seeing lots of images of chairs that have been correctly labeled as such.  Since the machine is trying to figure out a pattern or set of characteristics that distinguish chairs from other objects, the more chairs it sees, the better it will perform at its task.  This collection of labeled chairs is the algorithm’s “training data.”   There are notorious problems with bias in training data due to underrepresentation of certain groups.  For example, one study found that datasets designed to train ML to recognize objects performed poorly in developing countries, most likely due to underrepresentation of images from those places; when combined with pictures labeled in English, and the fact that standard Western commodity forms of household objects might look very different in the developing world, the ML was stumped.  Most famously in this country, facial recognition software performs best at identifying white men and worst at identifying Black women.  ImageNet, which is widely used for object recognition purposes, employees a hierarchy of labels that include calling a child wearing sunglasses a “failure, loser, non-starter, unsuccessful person” but also differentiates between assistant and associate professors.  Despite these and many other problems, massive datasets are essential for training ML applications.

For this reason, datasets have been called “infrastructural” for machine learning, defined as follows:

“Infrastructure is characterized, we argue, by a set of core features: it is embedded into, and acts as the foundation, for other tools and technologies; when working as intended for a particular community, it tends to seep into the background and become incorporated into routines; the invisibility of infrastructure, however, is situated - what is natural or taken for granted from one perspective may be highly visible or jarring from another; though frequently naturalized, infrastructure is built, and thus inherently contextual, situated, and shaped by specific aims.”

If AI is cars and buses and trains that do what we want, the datasets it trains on shape the roads and paths where those roads go, provide their material basis, become thereby incorporated into higher level routines like search, and tend to disappear into the background when not actively used.  But just like other examples of infrastructure – say, the bridges over the Long Island Freeway – infrastructure can embed priorities and affordances.  In this sense, dataset infrastructures have a politics, and serve as platforms on which applications are built.

For the Record...

This is not what critical race theory says:

"Critical race theory, Guelzo says, is a subset of critical theory that began with Immanuel Kant in the 1790s. It was a response to — and rejection of — the principles of the Enlightenment and the Age of Reason on which the American republic was founded. Kant believed that “reason was inadequate to give shape to our lives” and so he set about “developing a theory of being critical of reason,” Guelzo says."

The linked piece is a podcast called "WTH is critical race theory? How a philosophy that inspired Marxism, Nazism, and Jim Crow is making its way into our schools, and what we can do."

That's a right-wing columnist in the Washington Post bringing disgrace and ridicule to his paper for publishing this drivel.  Also, it's apparently far too easy for old white dudes to get tenure at Princeton, because they apparently don't have to read Kant before talking about him.  You don't even have to know that Marx wrote about 100 years before critical race theory.

No, seriously.  What did that clown do to get tenure?  I only ask because conservatives claim that woke liberals are destroying academic standards with their social justice blah blah blah.

Please nobody ever complain again about a leftist takeover of the academy. 

AI for Social Good: Calling out Amazon’s Lies to Congress

(story via Julia Angwin) You might remember that Amazon solemnly swore to Congress that they did not artificially elevate their own products in search results.  Except that they do.  Adrianne Jeffries and Leon Yin of The Markup used a machine learning algorithm to predict product placement in search results:

“We found that knowing only whether a product was an Amazon brand or exclusive could predict in seven out of every 10 cases whether Amazon would place it first in search results. These listings are not visibly marked as “sponsored” and they are part of a grid that Amazon identifies as “search results” in the site’s source code.”

Nothing else was anywhere close to as predictive.  Amazon products routinely get rated higher than better rated and better-selling competitors.  And it isn’t just for obvious Amazon products like “Amazon Basics.”  It turns out that a lot of products turn out to be Amazon:

“Using public records from the U.S. Patent and Trademark Office and Amazon’s own statements, we identified more than 150 brands registered by or owned by Amazon. These include both brands with an obvious connection, such as Amazon Basics and Amazon Commercial, and those that are generally known to be owned by the company, including Kindle and Zappos. But they also include dozens more, such as Happy Belly, Daily Ritual, and Society New York, where the connection to the company is not obvious. Those are in addition to the estimated hundreds of third-party brands that are exclusive to the site.”

Consumers are (understandably) totally confused about who makes the products they see.  Actual independent sellers are terrified to complain, because they’re worried about retaliation from Amazon.  Those who want to elevate their products can of course pay (one of the companies listed in the article was paying $10,000 a month, another $40,000 – not small change!), though even that might not get them listed above the Amazon products.  All of this is, not surprisingly, a potential antitrust problem:

“Bill Baer, a former assistant attorney general in charge of the antitrust division of the U.S. Department of Justice and former director of the Bureau of Competition at the FTC, said if consumers expect Amazon’s product search results to be neutral, but they are not, and the site is essentially a monopoly, that could be a violation of the FTC Act of 1914, which prohibits unfair competition and unfair or deceptive practices in commerce, or the U.S. Sherman Antirust Act, which prohibits monopolies from using their market power to harm competition.  If basically you’ve got somebody with market power that is restraining competition both in terms of site access or where things appear on the site,” he said, “that is potentially problematic.”

It’s also a problem because it suggests that Amazon executives lied to Congress.  Congress, you’ll recall, is completely dysfunctional and polarized on all topics except one: they all hate big tech.  Hence the “social good” part of the AI: the House Judiciary committee just sent a very threatening letter, which opens as follows:

“We write in response to recent, credible reporting that directly contradicts the sworn testimony and representations of Amazon’s top executives—including former CEO Jeffrey Bezos—to the Committee about their company’s business practices during our investigation last Congress. At best, this reporting confirms that Amazon’s representatives misled the Committee. At worst, it demonstrates that they may have lied to Congress in possible violation of federal criminal law.  In light of the serious nature of this matter, we are providing you with a final opportunity to provide exculpatory evidence to corroborate the prior testimony and statements on behalf of Amazon to the Committee. We strongly encourage you to make use of this opportunity to correct the record and provide the Committee with sworn, truthful, and accurate responses to this request as we consider whether a referral of this matter to the Department of Justice for criminal investigation is appropriate.”

Facebook as a Hostile Foreign Power

This piece, on Facebook's behaving more like an autocratic, hostile state than a large company, is worth the read.  Here's an excerpt:

"Perhaps Americans have become so cynical that they have given up on defending their freedom from surveillance, manipulation, and exploitation. But if Russia or China were taking the exact same actions to undermine democracy [that FB is], Americans would surely feel differently. Seeing Facebook as a hostile foreign power could force people to acknowledge what they’re participating in, and what they’re giving up, when they log in. In the end it doesn’t really matter what Facebook is; it matters what Facebook is doing."

Charles Mills (1951-2021)

I was both saddened and stunned this morning to read of the passing of Charles Mills.  I first met him at a SPEP years ago; I was having lunch at some random sandwich shop with friends.  He knew one of us, and asked if he could join.  Nevermind that we were all junior.  I managed to find him at a few later conferences, to join a meal or even just to say hi.  He was generous, warm and wickedly funny when he wanted to be.  And the stunning clarity with which he could call out ideal philosophy and other systems of domination is like nothing else I’ve read.

Daily Nous has more, and links to a really touching remembrance by Liam Kofi Bright.

New Paper: "The Death of the Data Subject"

Shameless self-promotion dept... here's the preprint for my new paper, "The Death of the Data Subject," now forthcoming in Law, Culture and the Humanities.  And here's the abstract:

This paper situates the data privacy debate in the context of what I call the death of the data subject.  My central claim is that concept of a rights-bearing data subject is being pulled in two contradictory directions at once, and that simultaneous attention to these is necessary to understand and resist the extractive practices of the data industry. Specifically, it is necessary to treat the problems facing the data subject structurally, rather than by narrowly attempting to vindicate its rights.  On the one hand, the data industry argues that subjects of biometric identification lack legal standing to pursue claims in court, and Facebook recently denied that that its facial recognition software recognizes faces.  On the other hand, industry takes consent to terms of service and arbitration clauses to create enforceable legal subject positions, while using promises of personalization to create a phenomenological subject that is unaware of the extent to which it is being manipulated.  Data subjects thus have no legal existence when it is a matter of corporate liability, but legal accountability when it is a matter of their own liability.  Successful reform should address the power asymmetries between individuals and data companies that enable this structural disempowerment.

 

 

When does the Supreme Court lose its legitimacy?

And what does that mean?  Now is a good time to ask.  The Court has let stand a 5^th Circuit decision upholding a Texas law that is plainly unconstitutional under current SCOTUS jurisprudence (it bans abortion at 6 weeks) and involves an enforcement mechanism that comes straight from Stalin’s playbook (it allows individuals to sue people they suspect of assisting a woman of obtaining an abortion).  This piece on Vox runs through how deeply perverse the Texas law in question in, how thoroughly Trump has corrupted the 5^th Circuit, and how alarming SCOTUS inaction is.

In Planned Parenthood v. Casey – which, along with Roe is apparently being overruled in Texas without a hearing and without a reasoned opinion – the Court favorably cites earlier opinion to the effect that the Court is supposed to give reasons when it overturns its precedent:

"A basic change in the law upon a ground no firmer than a change in our membership invites the popular misconception that this institution is little different from the two political branches of the Government. No misconception could do more lasting injury to this Court and to the system of law which it is our abiding mission to serve"

Justice O’Connor adds:

“The root of American governmental power is revealed most clearly in the instance of the power conferred by the Constitution upon the Judiciary of the United States and specifically upon this Court. As Americans of each succeeding generation are rightly told, the Court cannot buy support for its decisions by spending money and, except to a minor degree, it cannot independently coerce obedience to its decrees. The Court's power lies, rather, in its legitimacy, a product of substance and perception that shows itself in the people's acceptance of the Judiciary as fit to determine what the Nation's law means and to declare what it demands.  The underlying substance of this legitimacy is of course the warrant for the Court's decisions in the Constitution and the lesser sources of legal principle on which the Court draws. That substance is expressed in the Court's opinions, and our contemporary understanding is such that a decision without principled justification would be no judicial act at all. But even when justification is furnished by apposite legal principle, something more is required. Because not every conscientious claim of principled justification will be accepted as such, the justification claimed must be beyond dispute. The Court must take care to speak and act in ways that allow people to accept its decisions on the terms the Court claims for them, as grounded truly in principle, not as compromises with social and political pressures having, as such, no bearing on the principled choices that the Court is obliged to make. Thus, the Court's legitimacy depends on making legally principled decisions under circumstances in which their principled character is sufficiently plausible to be accepted by the Nation” (emphasis added)

O’Connor adds that if “the Court decides a case in such a way as to resolve the sort of intensely divisive controversy reflected in Roe” that “only the most convincing justification under accepted standards of precedent could suffice to demonstrate that a later decision overruling the first was anything but a surrender to political pressure, and an unjustified repudiation of the principle on which the Court staked its authority in the first instance.”

The Court’s so-called “shadow docket” – consequential decisions rendered in orders for cases not heard, as for example prioritizing religious claims over public health – has been on the rise over the last couple of years, and commentators have worried about the damage this does to the rule of law as an institution.  In the case of abortion, the Court has a case on the docket that would give it the opportunity to overturn Roe; it could have waited until then (and avoided the need to validate Texas’ enforcement mechanism).  You could argue that the Court didn’t “decide” anything last night, but it was faced with a clearly erroneous 5^th Circuit decision that it let stand.  I don’t see how last night’s failure to enjoin the Texas law doesn’t utterly gut its legitimacy in the sense articulated in Casey.  Texas just banned abortion, and SCOTUS offered no justification at all in letting the law stand.

Again, Casey: “to overrule under fire in the absence of the most compelling reason to reexamine a watershed decision would subvert the Court's legitimacy beyond any serious question.”  Court legitimacy is important:

“It is true that diminished legitimacy may be restored, but only slowly. Unlike the political branches, a Court thus weakened could not seek to regain its position with a new mandate from the voters, and even if the Court could somehow go to the polls, the loss of its principled character could not be retrieved by the casting of so many votes. Like the character of an individual, the legitimacy of the Court must be earned over time. So, indeed, must be the character of a Nation of people who aspire to live according to the rule of law. Their belief in themselves as such a people is not readily separable from their understanding of the Court invested with the authority to decide their constitutional cases and speak before all others for their constitutional ideals. If the Court's legitimacy should be undermined, then, so would the country be in its very ability to see itself through its constitutional ideals. The Court's concern with legitimacy is not for the sake of the Court, but for the sake of the Nation to which it is responsible.”

So much for Justice Roberts’ efforts to preserve the Court as an institution.

No Standing for You! (part 2)

By Gordon Hull

Last time, I started to look at the details of the Supreme Court’s recent TransUnion decision, which ruled that a credit agency that wrongly labeled someone as a match for a terrorist watch list (using only first and last names, with no effort at verification.  Sorry “John Smith”…) could only be sued if that person could show that the credit agency also distributed this information to others.  So basically you have to lose a job opportunity or a mortgage approval, and then you can sue.  There is nothing you can do to pre-emptively force them to correct the problem.  Worse, this ruling is in defiance of explicit statutory language in the FCRA.  The opinion directly says that SCOTUS can override Congressional determination of when something is legally actionable, and (just to be contrary, I guess), it does so in the name of separation of powers.

So what are we to make of this? As the various critical theories will remind you, law is a form of power. One thing that’s happening here is the protection of the powerful from the weak. With some high profile exceptions (like Justice Gorsuch’s endorsement of LGBTQ rights), the Roberts court has fairly consistently sided with the powerful, like corrupt politicians and conservative dark money donors by whittling away at laws designed to rein them in. One limitation to that thesis is to argue, as Erwin Chemerinsky has, that “Throughout history the court has overwhelmingly favored corporate power over employees, consumers, and the public, and has favored government power over individuals’ rights.” While it’s tempting to leave it at that here, I think there’s more nuance to be had. So two points.

No Standing for You! (part 1)

By Gordon Hull

In one of the Seinfeld episodes, the proprietor of a popular lunch stop would deny service to customers who offended his arbitrary sensibilities with a loud “No Soup for You!” This is basically the outcome of the Supreme Court’s June decision on standing, TransUnion v. Ramirez. “Standing” in this sense refers to access to the federal legal system; to simplify, to be able to sue somebody, you need to show that you’ve suffered a “concrete” injury. A number of recent standing cases have been about the outer limits of “concrete.” In principle, privacy harms can be concrete, but SCOTUS has been making standing harder, particularly in data breach cases.

And so it goes here. Per a 5-4 opinion authored by Justice Kavanaugh, you don’t have standing to sue a credit agency for flagging you as a terrorist, unless you can show that they also disseminated that information to somebody else. This opinion explicitly overrides a Congressional determination that you do, in fact, have standing in cases like that, arrogating to the Court the right to decide when Congress is and is not allowed to establish when statutory rights are actionable. This was too much for Justice Thomas, who, joined by the court’s liberals, points out in dissent that this both violates separation of powers in the name of preserving it, and turns historical standing doctrine on its head. As Dan Solove and Danielle Citron put it in a sharp critique that builds on Thomas’ dissent, TransUnion is “an activist decision that nullifies Congress’s power to protect consumers and that enables courts to rewrite privacy laws to alter how they are enforced.”

Foucault, Marx and Prophecy Part 3: On Bureaucrats

By Gordon Hull

In a previous post, I noted that Foucault strongly implies in a 1978 interview that his communist detractors are bureaucrats, and tied that to an earlier interview with Maoists in which he suggests that structuring populist tribunals on the model of bourgeois courts would fail to break with the power structure of the bourgeois court system: the model of impartiality is intrinsically bourgeois, and so importing that model into communist popular tribunals would iterate the very power structures that were to be replaced.  Here I want to flesh out a little more some of the resonances of an accusation of bureaucracy in the context of 1970s Marx debates in France.   I should say in advance that these are notes more than a complete assessment, designed to pick out highlights.  The back and forth polemics of Marxists are byzantine, and we should all be grateful that Foucault sets it as a rule not to engage in them.  Here I will mainly draw from Trotsky’s critique of Stalin and Lenin, with a closing gesture to a representative text of the French far-left that emerged in the aftermath of the 1968 student uprisings.

Patently Harmful

My further thoughts on the background through which we should interpret Covid patent waivers, at Real Life.

Foucault, Marx and Prophecy, Part 2: The Role of the Intellectual

By Gordon Hull

In a previous post, I made the case for reading Foucault’s 1978 comments on Marxism (especially in the Yoshimoto interview) in the context of theory/practice questions raised by the re-evaluation of Marx’s 11^th “Thesis on Feuerbach.”  Here I want to flesh out that position a little more, starting with reference to another 1978 piece.  Shortly after the Japan interviews, Foucault writes a response to the Italian communist Massimo Cacciari’s “Rationality and Irrationality of Politics in Delezue and Foucault” (the piece appeared in Italian; as far as I can tell, there is no translation of it).  Much of Foucault’s response is dedicated to accusing Cacciari of using the tactics of Stalinism: “always having a unique adversary” (created in this case by amalgamating Foucault, Deleuze and the New Philosophers), of engaging in a trial-like procedure, of assimilating ‘the enemy’ and danger, of reducing thought immediately to a system, and so forth.

He then defends the argument of Discipline and Punish, in particular with reference to the understanding of power; Foucault says he “would like precisely to show this heterogeneity of power, that is to say how it is always born of something other than itself” (D&E #238, II, 651 (2 vol. ed, 2001]).  He underscores that there is no metaphysics of power here, no “power with a capital P.”  Rather, “it is necessary to put the relations of power back into the interior of struggles and not suppose that there is, on the one hand, power, and on the other, that on which it is exercised, and that the struggle unfolds between power and non-power” (632).  In other words, Foucault’s entire effort is to resist the sort of abstraction that the Theses on Feuerbach warn against reifying.  The goal is rather to write a text that does something, that constitutes an intervention or a tool.  In language similar to that of the Japan interviews, and against the accusation that he is merely telling a story, Foucault proposes:

“In reality, what I am trying to do, and therein lies the difficulty of the attempt, is to work out an interpretation, a reading of a certain reality, which is such that, on the one hand, this interpretation is able to produce effects of truth and that, on the other hand, these effects of truth can become instruments at the heart of possible struggles.  To speak the truth so that it can be attacked [dire la vérité pour qu’elle soit attaquable].  It is a reality of possible struggles that I seek to make appear.” (633)

A few sentences later, he argues that “the effect of the truth that I seek to produce resides in this manner of showing that the real is polemical” (633).  However, “I do not speak of the current situation.  I effect an interpretation of history, and the problem – but I do not resolve it – is to know what the possible utilization of these analyses in the current situation is” (633-4).

This then leads to a very clear statement of the role of the intellectual.  “It is absolutely true that, when I write a book, I refuse to take a prophetic position which consists in saying to people: here is what you ought to do, or again, this is good, that is not.”  Instead, the goal is to show in a general way “it seems to me that these things have happened, but I describe them in such a manner that views of possible lines of attack are traced.  But in this I do not force or constrain anyone to attack” (634).  What to actually do – and he refers to his own decisions about throwing himself into certain political actions - “is a problem of groups, of physical and personal engagement,” and not of books.  Indeed, bossy Marxists are not radical: “one is not radical because one has pronounced some formulas; no, radicality is physical, radicality concerns existence” (634).

The Necropolitics of Intellectual Property

By Gordon Hull

Update (4/30).  Essential piece by Amy Kapczynski (who is one of my sources below).  Also see this Twitter thread by Dennis Crouch of PatentlyO, characterizing the issue as one of technology transfer more generally than patents specifically.  Trade secrets are an important issue - like patents, they allow companies to control access to innovation.  Companies also will use a strategy of combining patents and trade secrets in order to maximize their revenue (so if they think something can't be patented, they might claim it as a trade secret).  The theory behind trade secrets is based more in contracts than property, which means that they are arguably even worse if you're worried about neoliberalism, since they are an even further privatization of law and policy.

Update (4/29).  Here's more on IP and other barriers to vaccine distribution in India (and elsewhere):

• The Modi government is incompetent at every level, and India's base capacity was lower than it estimated.
• Most of the world wants IP waivers.  The U.S. and Europe and a few other countries do not. 
• This WaPo piece argues that waivers are bad but licensing (preferably voluntary, but with compulsory as a stick) is good.  Note that licensing is not what Bill Gates is talking about, as far as I can tell, which is buying vaccines and donating.

In my Biopolitics of Intellectual Property, I argue that IP policy has shifted from what I call a “public biopolitics” model to a neoliberal version.  In its briefest form: the public version treats IP as a necessary but limited monopoly to promote public goods, and the neoliberal version focuses on private wealth gain through proprietization (I summarize the argument here).

Something that I don’t particularly talk about in the book, but that one knows from Foucault, is that biopolitics comes with its inverse, necropolitics: if biopolitics is about promoting life and health for the “population,” it is also about who is allowed to die.  As Foucault puts it, “the ancient right to take life or let live was replaced by a power to foster life or disallow it to the point of death [au vieux droit de faire mourir ou de laisser vivre s'est substitué un pouvoir de faire vivre ou de rejeter dans la mort]” (History of Sexuality I, 138).  Governmental power goes from the right to kill to the power to cause people to live; death becomes something into which one is literally “thrown back.”  The leading examples of necropolitics are political, as for example Foucault’s discussion of state racism (of which Nazism is the apotheosis) in Society must be Defended.  Achille Mbembe’s “Necropolitics” article spends time on how post-colonial African states have dismantled populations, which are “disaggregated into rebels, child soldiers, victims or refugees, or civilians incapacitated by mutilation or simply massacred on the model of ancient sacrifices” (34).  Building on these, Ege Selin Islekel’s brilliant treatment of the disappeared in Turkey notes that in necropolitical spaces, “the entire content and the fact of living, constituted by the ethical, political, and epistemological conditions of life, are subsumed under death.”

However, as Ute Tellman has recently demonstrated, the political treatment of biopolitics needs to take seriously how it is co-configured with the economy.  On Tellman’s account, the notion of economic scarcity first appears in Malthus (it was missing in Smith!) as a way to police the behavior of the poor (and “savages” in the colonies) by training them to think in terms of futurity.  For Malthus, the poor have to be trained not to eat and procreate their way into oblivion by forcing them to think in terms of economic rationality.  This brings us to the neoliberal justification of IP, which is partly underpinned by the Schumpeterian thesis that innovation is to be pursued at all costs, because the gains of future innovation (“dynamic efficiency”) are more important than whatever short-term distribution problems (“static inefficiencies”) they entail.  Thus, more or less, is Harold Demsetz’s reply to Kenneth Arrow. 

It also subtends the argument being given for why IP rights around Covid vaccines shouldn’t be licensed to the poor in India (side note: Malthus served as professor at the East India Company College).  Developing countries have proposed a waiver of related IP rights to ensure the rapid production of generic Covid vaccines, and Pharma has responded with an army of lobbyists to explain that no, IP can’t possibly be the problem with Covid vaccine distribution, and it would be much better for philanthropies to purchase lots of drugs and then distribute them.  Other unrelated IP industries have followed with their own lobbyists.  Whatever other difficulties exist in getting vaccinations to people in developing countries, it seems hard to deny that insisting on IP rights and thereby limiting production of the drugs isn’t one of them.  Allowing generics – especially in India and Brazil – increases capacity.

Foucault, Marx and Prophecy: the 11th “Thesis on Feuerbach”

By Gordon Hull

Foucault thinks Marxism is bossy.  In Society must be Defended, he lays down the gauntlet clearly enough: totalizing theories get in the way of useful things at the local level.  As he notes, one should beware of:

“the inhibiting effect specific to totalitarian theories, or at least – what I mean is – all-encompassing and global theories.  Not that all-encompassing and global theories haven’t, in fairly constant fashion, provided – and don’t continue to provide – tools that can be used at the local level; Marxism and psychoanalysis are living proof that they can. But they have, I think, provided tools that can be used at the  local level only when, and this  is the real point ,the theoretical unity of their discourse is, so to speak, suspended, or at least cut up, ripped up, torn to shreds, turned inside out, displaced, caricatured, dramatized, theatricalized, and so on. Or at least that the totalizing approach always has the effect of putting the brakes on” (SMD 6).

That is, when you insist on your theoretical unities, you get in the way of actually doing anything.  What we need are to unearth “subjugated knowledges” and specific histories, and such activity requires the “removal of the tyranny of overall discourses” (SMD 8).  In his 1978 interviews with the Italian Communist Duccio Trombadori, Foucault underlines that “I absolutely will not play the part of one who prescribes solutions.  I hold that the notion of the intellectual today is not that of establishing laws or proposing solutions or prophesying, since by doing that one can only contribute to the functioning of a determinate situation of power that to my mind must be criticized” (Remarks on Marx, 157).

He similarly says at the end of an earlier 1978 interview in Japan that “I think that the role of intellectuals, in reality, absolutely does not consist in playing [the role of] prophets or legislators” (D&E #236; Vol II, 264-5 (2 vol, 2001 ed.)).  Marxism is theological, as he says in his 1979-80 Collège de France Lectures:

“With Marxism, it’s the same thing.  You have the model of the fall, alienation and dis-alienation.  You have the model of the two ways: Mao Zedong.  And you have, of course, the problem of the stain of those who are originally soiled and must be purified: Stalinism.  Marx, Mao, Stalin; the three models of the two ways, the fall, and the stain” (Government of the Living,  108)

At one level this is clear enough.   But Foucault also of course is an advocate of social change, and he wants his works to be picked up and used in local struggles, as he also says repeatedly.  Here I want to add a little specificity to the question about Foucault’s relation to Marxism (at least as he understands it around 1978) by picking up on his remarks in the Japan interview. Immediately after saying that intellectuals should not be prophets or legislators, he adds that: “for two thousand years, philosophers have always spoken of what we should have done [de ce qu’on devait faire].  But this always led to a tragic end.  What is important is that philosophers speak of what is currently happening, but not of what could happen” (624).  The first thing to note is the implicit reference to Lenin, at least in the context of a discussion of Marxism: Lenin’s What is to be Done is translated into French as Que Faire (the French rendering is correct: the book is Что Дълать, literally “What to Do”).  More significantly, the connection to prophetic discourse is something Foucault repeats in his slightly earlier interview with Yoshimoto, where he says that:

Paul Rabinow (1944-2021)

Via Foucault News:

“Paul Rabinow, UC Berkeley professor emeritus of anthropology and world-renowned anthropologist, died April 6 at the age of 76 in his Berkeley home.

Rabinow spent about 41 years at UC Berkeley between 1978 to 2019, serving as the director of anthropology for the Contemporary Research Collaboratory and as the former director of human practices for the Synthetic Biology Engineering Research Center.”

Rabinow was of course a vital conduit for Foucault’s work into English; my introduction to Foucault in grad school was by way of the Foucault Reader he edited.

His work was also important to me as I worked to understand biopolitics beyond Foucault’s own texts, extending the inquiry into topics like the human genome project and medical risk, and offering cautions against appropriations of the concept by Negri and Agamben. 

He writes at the end of his Anthropos Today that “my diagnosis is that worldviews concerned with progress and decadence as essential elements of a totalizing figure should be allowed to retire into the past, to take their place as historical memories.  By relinquishing them we will enable reason to better confront contemporary problems” (133-4), and concludes:

“Jean Starobinski advocates a criticism that seeks neither “the totality (as with the gaze from above), nor [. . .] intimacy (as does a self-identificatory intuition).” The critical practice is one that finds the means to navigate these relations of distance and closeness. There is no “quasi-divinity” present here, only a disciplined human curiosity. Let us agree with Starobinski that method re-quires motion. A movement that goes on “inlassablement,” tirelessly, steadfastly, persistently. I advocate pursuing in our thought and writing something like the motion, through different scales and different subject positions, that Starobinski proposes in the quote and exemplifies in his criticism. Such movement is easy to initiate and hard to master. Yet I firmly believe that in the actual conjuncture of things, it is a paramount challenge for philosophy and the human sciences to experiment with forms that will be, if not fully adequate to, at least cognizant of, the need for such movement through scale and subjectivity. Such motion might help us to leave notions like progress behind and even to help us to take better care of things, ourselves, and others” (136)

On Covid data, part n

I've been commenting off and on about the vagaries of Covid data - for example, in knowing what "covid cases" refers to (and here); states' early conflation  of PCR and antibody tests;  the vagaries of different testing technologies, or the ways that even death certificates can mislead about mortality.  This reflective piece by the co-founders of the Covid Tracking Project at the Atlantic - which became the de facto national source for Covid information as the federal government fell flat on its face - is absolutely worth the read.  Here's one short paragraph that says everything you need to know about data in general:

"Data are just a bunch of qualitative conclusions arranged in a countable way. Data-driven thinking isn’t necessarily more accurate than other forms of reasoning, and if you do not understand how data are made, their seams and scars, they might even be more likely to mislead you"

Marx explains how AI systems exploit workers (Part 1)

By Gordon Hull

“Factory work exhausts the nervous system to the uttermost; at the same time, it does away with the many-sided play of the muscles, and confiscates every atom of freedom, both in bodily and in intellectual activity” (Marx, Capital I [Penguin Ed.], 548).

A recent piece by Josh Dzieza in the Verge about the working conditions of those subject to discipline by AI in the workplace is wrenching.  It tells the story of Amazon workers and call center employees and others whose work lives have become an exhausting monotony of ever-intensifying robot-like demands.  The “AI boss” becomes ever more demanding, filling every moment at work with the requirement to be more productive and with absurd metrics for deciding when its demands are met.  Amazon workers report that they are basically ground down by the unsustainability of the pace of productivity; they are either fired or forced to quit, often with injuries.  Call center employees are subject to Orwellian monitoring by a machine that purports (often laughably inaccurately) to monitor and tweak their affect when speaking to customers.  Folks working from home find it impossible to go to the bathroom, because they are forced to sit in front of their computer all the time, which takes frequent pictures of them and reports on their productivity, as measured by lines of code or keystrokes per unit time.

All of this optimized misery reminds us of something important: AI systems are being deployed under capitalism.  A worker subject to an “AI Boss” is not some sort of new-fangled social form; they are fundamentally a worker subject to capitalist exploitation.  What AI has done is enable capitalism to be more intensively exploitative.  The stories in the article echo the stories Marx reports in Capital in his discussion of machinery, as does a lot of the logic.  This suggests that two popular narratives about AI need to be displaced.  First, it may be that AI will someday swoop in and take away everyone’s jobs.  As Dzieza notes, this narrative deflects attention from the pressing reality of deteriorating workplace conditions under AI supervision.  Second, Marx’s work on machines and technology is frequently read (as by the autonomists) through the Grundrisse “Fragment on Machines,” and in a way that emphasizes affective labor and cognitive capital.  The reality of AI today serves as an important reminder that the treatment in Capital is still very important.  Let me explain.

The Elephant in the Vaccine Room

You might have heard that minorities are hesitant about getting a Covid vaccine?  Well, about that.  According to polling reported by Axios, the group least likely to want a vaccine is White Republicans... to the point that "White Americans are now less likely than Black and Latino Americans to say they plan to get the vaccine."  I

Google fires another AI ethicist

This time Margaret Mitchell, one of the other authors on the fabulous "Stochastic Parrots" paper (that's my post on it.  The paper is here) on natural language processing.  This was obviously coming, since they'd suspended her email account weeks ago.  In case you haven't read the paper (and you really should!), it's worth mentioning that the paper does not mention Google, and the goal is to point to strategies to make AI better, i.e., less likely to entrench racism, sexism and so forth while destroying the planet in climate catastrophe.  It turns out that those are related, because bigger and bigger datasets are both carbon intensive and likely to pick up on and magnify hegemonic and toxic speech.  Attention to efficiency and curation moves the needle on both.

No commitment to even looking like they care about ethical AI.

Reading List: Bender and Gebru, “Stochastic Parrots”

By Gordon Hull

Not long ago, Google summarily dumped Timnit Gebru, one of its lead AI researchers and one of the few Black women working in AI.  Her coauthor Emily Bender has now posted the paper (to be presented this spring) that apparently caused all the trouble.  It should be required reading for anybody who cares about the details of how AI and data systems can perpetuate racism, or who cares more generally about the social implications of brute-force approaches to AI.  Bender and Gebru take up a common approach to natural-language processing (NLP), which involves an AI system learning how to anticipate what speech is likely to follow a given unit of speech.  If, for example, I say “Hello, how are,” the system learns by studying a dataset of existing phrases and text snippets that the next word is likely to be “you,” but almost certainly will not be “ice cream.”  How good the computer gets at this game is going to be substantially determined by the quantity and quality of its training data, i.e., the text that it examines.

Bender and Gebru outline the social costs of one approach to this problem, which is basically brute force.  As processing power increases, it’s possible to train computers with larger and larger datasets, and the use of larger datasets reliably improves system performance.  But should we be doing that?  Bender and Gebru detail several kinds of problems.  The first is environmental justice: all that processing power uses a lot of energy.  Although some of it may come from carbon-neutral sources, the net climate cost is significant.  Worse, the NLP systems being produced don’t benefit the people that are going to suffer the most from climate change.  As they memorably put it:

“Is it fair or just to ask, for example, that the residents of the Maldives (likely to be underwater by 2100) or the 800,000 people in Sudan affected by drastic floods, pay the environmental price of training and deploying ever larger English LMs, when similar large-scale models aren’t being produced for Dhivehi or Sudanese Arabic?”