I'll be at #ICML2026 next week—7 main conference papers, 2 orals + an invited talk 🇰🇷 Also hiring 2 RAs (interp + continual learning) at Oxford: what happens inside models that keep learning after deployment? Come chat in Seoul, or apply 👇 tsglab.github.io/vacancies/ Please share with folks!

A glimpse into another successful Oxford Connected Life Summit, focused on what it means to live in an increasingly connected world. This year's theme was "New Intelligence, Old Questions," and featured notable speakers and organisations. Huge thanks to the student committee for making this happen!

Heading to #ICML2026 in Seoul next week with the TSG Lab and Martian 🇰🇷 10 papers: 7 in the main conf, 3 WS: interpretability, AI evaluation, and governance, two oral spotlights Giving an invited talk at the EIML WS Grateful to the students, collaborators, mentors and Claude who made it happen!

Really grateful to have 7 papers accepted at @icmlconf.bsky.social onf 2026, including 2 spotlights! Massive thanks to all my collaborators—I’ve been lucky to work with such brilliant people #ICML2026

Excited to be debating at the Oxford Union this evening Motion: This House Believes that AI is the Great Equalizer Is it? Or isn't it? I'm speaking for the proposition--which might surprise those who know my work. That's rather the point! We'll find out which way the House votes

In film, "we'll fix it in post" is what you say when something went wrong on set and you don't want to redo it. AI research has made it our entire methodology: train the model, then patch whatever comes out. Our new ICML oral argues this can't be the basis of a science of AI. 🧵

How can we ensure AI-powered robots remain safe when operating in the real world? 🤖 A recent article co-authored by @aigioxfordmartin.bsky.social researcher Fazl Barez, explores safety challenges and the importance of being context-aware 🔗Read the research in full: www.science.org/doi/10.1126/...

Beyond alignment: Why robotic foundation models need context-aware safety

Because AI-enabled robots can be tricked into taking unsafe actions, they require layered, context-aware safety guardrails.

science.org

Incredibly excited to announce $1 Million prize pool to solve the world’s most important scientific problem in Interpretability. The goal is to turns hard interpretability questions into tools for human empowerment, oversight and governance.

🚨New AI Safety Course @aims_oxford ! I’m thrilled to launch a new called AI Safety & Alignment (AISAA) course on the foundations & frontier research of making advanced AI systems safe and aligned at @UniofOxford what to expect 👇 robots.ox.ac.uk/~fazl/aisaa/

Evaluating the Infinite 🧵 My latest paper tries to solve a longstanding problem afflicting fields such as decision theory, economics, and ethics — the problem of infinities. Let me explain a bit about what causes the problem and how my solution avoids it. 1/N arxiv.org/abs/2509.19389

Evaluating the Infinite

I present a novel mathematical technique for dealing with the infinities arising from divergent sums and integrals. It assigns them fine-grained infinite values from the set of hyperreal numbers in a ...

arxiv.org

🚀 Excited to have 2 papers accepted at #NeurIP2025! 🎉 congrats to my amazing co-authors! More details (and more bragging) soon! and maybe even more news on sep 25 👀 See you all in… Mexico? San Diego? Copenhagen? Who knows! 🌍✈️

🚨 NEW PAPER 🚨: Embodied AI (incl. AI-powered drones, self-driving cars and robots) is here, but policies are lagging. We analyzed the EAI risks and found significant gaps in governance arxiv.org/pdf/2509.00117 Co-authors Jared Perlo @fbarez.bsky.social Alex Robey & @floridi.bsky.social 1\4

Other works have highlighted that CoTs ≠ explainability alphaxiv.org/abs/2025.02 (@fbarez.bsky.social), and that intermediate (CoT) tokens ≠ reasoning traces arxiv.org/abs/2504.09762 (@rao2z.bsky.social). Here, FUR offers a fine-grained test if LMs latently used information from CoTs for answers!

It is so easy to confuse chain of thought and explainability and in fact in a lot of the media it is presented as if with current LLMs we are allowed to view their actual thought processes. It is not that!

Fazl Barez@fbarez.bsky.social · last yr.

Excited to share our paper: "Chain-of-Thought Is Not Explainability"! We unpack a critical misconception in AI: models explaining their steps (CoT) aren't necessarily revealing their true reasoning. Spoiler: the transparency can be an illusion. (1/9) 🧵

Excited to share our paper: "Chain-of-Thought Is Not Explainability"! We unpack a critical misconception in AI: models explaining their steps (CoT) aren't necessarily revealing their true reasoning. Spoiler: the transparency can be an illusion. (1/9) 🧵

Technology = power. AI is reshaping power — fast. Today’s AI doesn’t just assist decisions; it makes them. Governments use it for surveillance, prediction, and control — often with no oversight. Technical safeguards aren’t enough on their own — but they’re essential for AI to serve society.

And Anna Yelizarov, @fbarez.bsky.social, @scasper.bsky.social, Beatrice Erkers, among others. We'll draw from political theory, cooperative AI, economics, mechanism design, history, and hierarchical agency.

This is a step toward targeted, interpretable, and robust knowledge removal — at the parameter level. Joint work with Clara Suslik, Yihuai Hong, and @fbarez.bsky.social, advised by @megamor2.bsky.social 🔗 Paper: arxiv.org/abs/2505.22586 🔗 Code: github.com/yoavgur/PISCES

Come work with me at Oxford this summer! Paid research opportunity to: White-box LLMs & model security Safe RL & reward hacking Interpretability & governance tools Remote or Oxford. Apply by 30 May 23:59 UTC. DM with questions.

Come work with me at Oxford! We’re hiring a Postdoc in Causal Systems Modelling to: - Build causal & white-box models that make frontier AI safer and more transparent - Turn technical insights into safety cases, policy briefs, and governance tools ] DM if you have any questions.

First-time Area Chair seeking advice! What helped you most when evaluating papers beyond just averaging scores? After suffering through unhelpful reviews as an author, I want to do right by papers in my track.

🎉 Our Actionable Interpretability workshop has been accepted to #ICML2025! 🎉 > Follow @actinterp.bsky.social > Website actionable-interpretability.github.io @talhaklay.bsky.social @anja.re @mariusmosbach.bsky.social @sarah-nlp.bsky.social @iftenney.bsky.social Paper submission deadline: May 9th!

Organizers: Ben Bucknall, @lisasoder.bsky.social, @ankareuel.bsky.social @fbarez.bsky.social, @carlosmougan.bsky.social Weiwei Pan, Siddharth Swaroop, @ankareuel.bsky.social , Robert Trager @maosbot.bsky.social

Technical AI Governance (TAIG) at #ICML2025 this July in Vancouver! Credit to Ben and Lisa for all the work! We have a new centre at Oxford working on technical AI governance with Robert Trager and @maosbot.bsky.social many other great minds. We are hiring - please reach out! Quote

Technical AI Governance @ ICML 2025@taig-icml.bsky.social · last yr.

📣We’re thrilled to announce the first workshop on Technical AI Governance (TAIG) at #ICML2025 this July in Vancouver! Join us (& this stellar list of speakers) in bringing together technical & policy experts to shape the future of AI governance! www.taig-icml.com

Life update: I'm starting as faculty at Boston University @bucds.bsky.social in 2026! BU has SCHEMES for LM interpretability & analysis, I couldn't be more pumped to join a burgeoning supergroup w/ @najoung.bsky.social @amuuueller.bsky.social. Looking for my first students, so apply and reach out!

New paper alert! Curious how small prompt tweaks impact LLM accuracy but don’t want to run endless inferences? We got you. Meet DOVE - a dataset built to uncover these sensitivities. Use DOVE for your analysis or contribute samples -we're growing and welcome you aboard!

Eliya Habba@eliyahabba.bsky.social · last yr.

Care about LLM evaluation? 🤖 🤔 We bring you ️️🕊️ DOVE a massive (250M!) collection of LLMs outputs  On different prompts, domains, tokens, models... Join our community effort to expand it with YOUR model predictions & become a co-author!

What happens once AI can design better AI, which can itself design better AI? Will we get an "intelligence explosion" where AI capabilities increase very rapidly? Tom Davidson, Rose Hadshar and I have a new paper out with analysis of these dynamics.

My group @FLAIR_Ox is recruiting a postdoc and looking for someone who can get started by the end of April. Deadline to apply is in one week (!), 19th of March at noon, so please help spread the word: my.corehr.com/pls/uoxrecru...

1/13 LLM circuits tell us where the computation happens inside the model—but the computation varies by token position, a key detail often ignored! We propose a method to automatically find position-aware circuits, improving faithfulness while keeping circuits compact. 🧵👇