Deb Raji

@rajiinio.bsky.social

AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley.

I've always found the AI obsession with "general intelligence" frustratingly incoherent and uncomfortable...I'm realizing that a large part of that stems from a eugenics fueled human obsession with "general intelligence" that is equally incoherent and uncomfortable...

angela zhou@angelamczhou.bsky.social · 3w ago

Man I got so much stuff to do I dont have the time to write a "Eugenics is bad. Factor analysis is useful sometimes. We shouldn't write papers that celebrate eugenics in the second paragraph, even if the rest of the paper is about something else"

This is a challenging legal problem for NeurIPS (and other conference participants)! You might be wondering how this is possible given the First Amendment? I wrote a quick explainer on the current status quo of relevant First Amendment cases & law to get you up to speed. 🔗👇

Bild
NeurIPS Conference@neuripsconf.bsky.social · 4mo ago

NeurIPS is aware of the community's concerns regarding the list of sanctions. NeurIPS is an inclusive community focused on free scientific discourse. We deeply value the research that comes from everyone in our community.

I've come to seriously value any opportunity I get to create a safe space for those coming up behind me. It's incredibly important - and I know this because I'm here, able to do this work, precisely because of those that chose to endure who knows what in order to create the right space for me ❣️

Timnit Gebru@timnitgebru.blacksky.app · 5mo ago

If we're not in academia to create safe spaces, Black graduate students get pushed out. If they, by some miracle, finish their PhDs despite the hurdles, it's accompanied by trauma and health issues.

This annoys me. We do have federal procurement guidelines for AI - even under Vought & the Biden EO repeal. Reporting about this should note that this is not a normative "AI in govt" situation. The pentagon is (& always has been) asking for *special treatment* here! techcrunch.com/2026/03/02/o...

No one has a good plan for how AI companies should work with the government | TechCrunch

As OpenAI transitions from a wildly successful consumer startup into a piece of national security infrastructure, the company seems unequipped to manage its new responsibilities.

techcrunch.com

Love this! And very much the anti-thesis of the current "AI maximalist" corporate ethos at Spotify, Amazon, etc, and some public organizations (schools, hospitals, govt) where AI use is forced upon workers and pushed out in as many use cases as is conceivable, without reason & to disastrous results.

blair@blairaf.com · 5mo ago

Has anyone written on a concept like data minimization but for AI? Thinking about the idea of "AI minimization" as a principle of governance, prioritizing questions about the purpose & contextual necessity of AI use over questions of best practice

Interesting - I agree that simple proxies should not be the only way to get to predictable model outcomes. Tho I worry this criteria won't be well operationalized (ie "aligned"?). My pet theory is that model predictability is likely a byproduct of training *data* properties more than anything else.

Lindsay Popowski@popowski.bsky.social · 6mo ago

Is the only way we can create algorithms that people understand to make them trivially simple? We argue, no. People can predict the behavior of algorithms that are arbitrarily complex, if and only if they are available, compact and aligned. arxiv.org/abs/2601.18966

A search for factors for algorithm understanding results in multiple terms displayed as documents, including available, compact, and aligned. These are shown to be necessary and sufficient. Other, similar terms are shown in the background faded, like intuitive, rule-based, grounded, modular, linear, decomposable, accurate, symbolic, causal, and personalized.

Interviewed for this doc years ago & have yet to see the final cut. Most of what I recall is how much Daniel had truly riled himself up - the confusion & chaos of this exaggerated boogyman version of "AI" had excited a genuine emotional response, despite successfully disguising AI's real terrors.

Emily M. Bender@emilymbender.bsky.social · 6mo ago

And despite an early clip of @rajiinio.bsky.social appropriately problematizing the term "AI", it's immediately followed by a long series of tech bros spouting their fantasies about thinking machines and literally nothing else in the film disaggregates the various technologies sold as AI. >>

Co-chairing this workshop at Simons this week & it's been amazing so far! Brought together folks from ML, stats, law, sociology & beyond to discuss the messy middle between individual predictions & the actions/policy change individuals/orgs take in response to those predictions

Bild

A fascinating recent development is that the ML research community -- as the earliest adopters of "AI for research" -- are at the frontlines of dealing with all the problems that come with that (ie. reduced trust in results & reviewers, increased submission load etc). Every other field is next! 😭

TThomas Dietterich@tdietterich.bsky.social · 11mo ago

We need new rules for publishing AI-generated research. The teams developing automated AI scientists have customarily submitted their papers to standard refereed venues (journals and conferences) and to arXiv. Often, acceptance has been treated as the dependent variable. 1/

One of my very early essays explored a paper by @rajiinio.bsky.social & others that centers the story of Grover and the Everything in the Whole Wide World Museum. It is striking to me that AI hyperscalers today really believe we can encapsulate all of human experience in data. I mean, good luck.

What Grover and Good Will Hunting can tell us about the limits of artificial intelligence

First, a quick thank you to all the new subscribers to the Cognitive Resonance Substack!

buildcognitiveresonance.substack.com

It's always so funny to me when people frame this kind of AI "distrust" as an unfortunate PR issue... in actuality people have very legitimate and materially supported reasons to be skeptical - trust is earned! We shouldn't strongarm people into trusting institutions & tech that doesn't serve them 😳

Alondra Nelson@alondra.bsky.social · 8mo ago

"For those asking the public to trust their AIs, it doesn’t help that systems based on related technology are causing harm in ways all of us hear about daily, from suicide-encouraging chatbots to image generators that devour jobs and intellectual property." www.wsj.com/tech/ai/ai-d...

Trump doing this just weeks before Colorado is set to push out final amendments to SB 205 is so annoying. Just another performative roadblock to push negotiations further down the line -- and given that Colorado is named explicitly in the EO, not likely to be a coincidence either

Bild

US CAISI is hiring -- the internal govt name for the role is "IT Specialist" but it is effectively a research scientist role! Salary is $120,579 to - $195,200 per year, and you get to work on AI evaluation within government agencies! Job posting (**closes EOD 12/28/2025**): lnkd.in/exJgkqr5

Bild