Abeba Birhane
Assistant Professor of AI, founder of the AI Accountability Lab
Articles & links
Not just lobbying! our new paper maps 27 mechanisms of regulatory capture used by Big AI + 11 narrative framings that rationalise capture. “Big AI’s Regulatory Capture: Mapping Industry Interference and Government Complicity” will be presented at #FAccT2026 next month arxiv.or…
anthropic: we have no way of controlling our fully autonomous, "recursively self-improving" model hidden gig workers, RLHF annotators, and seemingly invisible coders & academics that are *actually* improving the model: hold my beer africa.businessinsider.com/news/inside-...
I’m honoured and delighted to have been selected for the EU’s new AI Act Advisory Forum ec.europa.eu/transparency...
🔥 🔥 arxiv.org/pdf/2604.16106
"an audit by Lighthouse Reports of public data on the government’s chosen AI provider shows that its tech misclassified more than a third of 16-year-olds as adults and, in some tests, was shown to give the wrong assessment in 70 per cent of cases" www.independent.co.uk/news/uk…
one of the most comprehensive surveys on children’s use of AI--conducted March 18-26, 2026, among 9-17yr olds in the US (N = 1,204)--has been released www.commonsensemedia.org/sites/defaul... highlighting key findings 🧵 "Nearly 9 in 10 kids age 9 to 17 (86%) use/interact with AI"
this is disastrous from the UK government the key to control over digital "sovereignty" is not by handing over more of digital infrastructure to private multi billionaire $$ industry www.theguardian.com/technology/2...
Recent commentary
llms don't and can't love, hate, feel, care, think, imagine, dream, hope, fear, believe, reflect, aspire, wonder, empathize,... fix your your anthropomorphising language
i cannot emphasise it enough: rid yourself of the idea that the purpose of your research is to develop “solutions” to the clusterfuck the ai industry has thrown at us. i certainly am not interested in that or in making existing ai systems “better” 1/
safety evaluation research the past year or two: "we use llms to ideate & define “harm”, then use llms to generate prompts about it, which we then feed to llms to generate responses, we then use an llm-as-a-judge to classify the responses, we then use an llm to evaluate the accuracy…"
for every skeet i post here showing ai systems catastrophically failing to do what they are supposed to do, i have dudes replying with “but humans are also bad at x" just don't. it's ignorant and unhelpful
I understand and sympathise with the lack of funding to study the impact of ai on kids/vulnerable groups. regardless, if you're partnering with/sponsored by the ai company whose technology you're studying, the conflict of interest is too great to take your findings seriously
i don’t know who needs to hear this (well, I do -- most researchers in the behavioural sciences using llm-as-a-judge or as synthetic human): setting the temperature to 0 does NOT make llm outputs deterministic
what a great privilege to be part of a panel “Shaping the Future: Young People and Artificial Intelligence” this morning at launch event of this hefty report on AI and youth by the National Youth Council of Ireland. the kids are alright!
what is a good work (academic paper, essay, blog, etc) that debunks dominant corporate narratives such as “if you’re not using AI you’ll be left behind” for a general audience?
In Abeba Birhane's orbit
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