Tag Archives: Algorithms

Societal trust and the pace of AI research

An open letter from the Future of Life Institute exhorts the leading AI labs to enact a six-month moratorium on further experiments with artificial intelligence. The caliber of some of the early signatories guarantees that significant public conversation will ensue. Beyond the predictable hype, it is worth considering this intervention in the AI ethics and politics debate both on its merits and for what it portends more broadly for the field.

First off, the technicalities. The text locates the key chokepoint in AI development to be exploited in the interests of the moratorium in the scarcity of compute power. Truly, we are at the antipodes of the decentralized mode of innovation that drove, for instance, the original development of the commercial and personal web in the 1990s. However, it remains to be seen whether the compute power barrier has winnowed down the field into enough of an oligopoly for the proposed moratorium to have any chance of application. A closely related point is verifiability: even if there were few enough players to enable a coordination regime to emerge and there was virtually universal buy-in, it would still be necessary to enact some form of verification in order to police the system and ensure nobody is cheating. By comparison, the nuclear non-proliferation regime enjoys vast buy-in and plentiful dedicated enforcement resources (both at the nation-state and at the international organization level) and yet is far from perfect or fool-proof.

Moving to broader strategic issues, it bears considering whether the proposed moratorium, which would necessarily have to be global in scope, is in any way feasible in the current geopolitical climate. After all, one of the classic formulations of technological determinism relies on Great Power competition in military and dual-use applications. It would not be outlandish to suggest that we already are in a phase of strategic confrontation, between the United States and China among others, where the speed of tech change has become a dependent variable.

Perhaps, however, it is best to consider the second-order effects of the letter as the crux of the matter. The moratorium is extremely unlikely to come about, and would be highly unwieldy to manage if it did (the tell, perhaps, is the mismatch between the apocalyptic tone in which generative AI is described and the very short time requested to prepare for its onslaught). Nonetheless, such a proposal shifts the debate. It centers AI as the future technology to be grappled with socially, presents it as largely inevitable, and lays the responsibility for dealing with its ills at the foot of society as a whole.

Most strikingly, though, this intervention in public discourse relies on very tenuous legitimacy grounds for the various actors concerned, beginning with the drafters and signatories of the letter. Is the public supposed to endorse their analysis and support their prescriptions on the basis of their technical expertise? Or their impartiality? Or their track record of civic-mindedness? Or their expressing of preferences held by large numbers of people? All these justifications are problematic in their own way. In a low-trust environment, the authoritativeness of a public statement conducted in this fashion is bound to become itself a target of controversy.

Workshopping trust and speech at EDMO

It was a great pleasure to convene a workshop at the European Digital Media Observatory today featuring Claire Wardle (Brown), Craig Matasick (OECD), Daniela Stockmann (Hertie), Kalypso Nicolaidis (Oxford), Lisa Ginsborg (EUI), Emma Briant (Bard) and (briefly) Alicia Wanless (Carnegie Endowment for International Peace). The title was “Information flows and institutional reputation: leveraging social trust in times of crisis” and the far-ranging discussion touched on disinformation, trust vs. trustworthiness, different models of content moderation, institutional design, preemptive red-teaming of policies, algorithmic amplification, and the successes and limits of multi-stakeholder frameworks. A very productive meeting, with more to come in the near future on this front.

Tropes of the Techlash

A review by Paul Dicken published online a week ago in The New Atlantis is representative of a certain kind of argument in contemporary social critiques of high tech. The piece discusses a book by Ben Schneiderman entitled Human-Centered AI, which came out earlier this year for Oxford UP, and mainly reads as an exposé of a benighted scientism that at best is hopelessly naïve about its potential to effect meaningful emancipatory social change and at worst is disingenuous about the extractive and exploitative agendas that underwrite its deployment.

One would not wish to deny that Schneiderman makes for a good target: computer scientists as a sociological class are hardly more self-reflexive or engagé than any other similarly-defined professional group, and divulgative AI-and-management texts seldom present incisive and counterintuitive social commentary. Nonetheless, it is hard to miss a certain symmetry between the attacks on the political self-awareness of the author in question (how could he have missed the damning social implications??) and the peans to progress through techno-solutionism which characterized public debate on Web2.0 before the techlash.

The fact itself that Dicken refers back to Charles Babbage as a precursor of contemporary AI research and its dark side should suggest that the entwinement of technological advancement with political economy might be a long-run phenomenon. What is different is that in the present conjuncture would-be social critics seem to harbor absolutely no faith that the political and social ills upstream from technological development can be righted, and no plan to do so. New technology changes affordances, and this shift makes certain social dynamics more visible. But in the absence of specifically political work, such visibility is ephemeral, irrelevant. Hence, the exposé of political cluelessness risks becoming the master trope of the techlash, essentially a declaration of social impotence.

A.utomated I.dentity?

An interesting, thoughtful article by Michelle Santiago Cortés in The Cut last week looks at affective relationships with algorithms and their role in shaping our identities.

Three parts of the analysis specifically stood out to me. The first revolves around our typical lack of knowledge of algorithms: Cortés’ story about

some YouTube alpha male […] out there uploading videos promising straight men advice on how to “hack” the Tinder algorithm to date like kings

is clearly only the tip of a gigantic societal iceberg, a cargo-culture-as-way-of-life involving pretty much everyone in the remotest, most diverse walks of life. The ever-evolving nature of these algorithms compounds the obfuscation effect, making end-users’ strategic attempts, whether exploitation- or resistance-focused, generally appear puerile.

Second, the clarity with which Cortés encapsulated the main tradeoff in the relationship was truly apt:

[w]e are, to varying degrees, okay with being surveilled as long as we get to feel seen.

The assertion of visibility and assurance of recognition are two of the key assets algorithmic systems offer their users, and their value can hardly be minimized as mere late-consumerist narcissism.

Finally, the comparison between algorithmic portraits of personality and astrology was extremely telling: closing the behavioral loop from algorithmic interaction to the redefinition of one’s own identity on the basis of the algorithm’s inevitably distorting mirror is still a matter of choice, or rather, a sensibility that can be honed and socialized regarding the most empowering and nurturing use of what is ultimately a hermeneutic tool. Of course, such a benign conclusion rests on the ambit of application of such technologies: music videos, entertainment, dating. As soon as our contemporary astrological devices are put in charge of directing outcomes in the field of political economy and public policy, the moral calculus rapidly shifts.