AI professor. Director, @FOCAL_lab @CarnegieMellon. Head of Technical AI Engagement, @UniofOxford @EthicsInAI. Author, "Moral AI - And How We Get There."
@itaisher Clearly in a mathematical sense it is a notion of being close to strategy-proofness, but of course there are various other such notions. Every such notion has drawbacks; I personally do think this is a sensible one as we argue in the paper.
Major update to this paper (which used to be 100% human): in a deep result, AI + Emin Berker proved that no (reasonable) rule is closer to strategy-proof than Borda, in the sense of the paper.
https://t.co/K21mfmFTIw
I wrote a piece for IEEE Intelligent Systems on recursive self-improvement and how researchers have very different models of what it may cause to happen. So far the most popular part: How to get feedback from your dog whether to move to Japan or to Turkey.
https://t.co/mnvT6aw1HP
@itaisher You mean you're skeptical that it's a sensible notion? That certainly depends on the purpose / setting, but we argue in the paper that in some cases it is.
(2/2) Congratulations to lead author (study panel chair) Mike Wooldridge, @SheilaMcIlraith who took over from me as standing committee chair, and so many other people who contributed!
(1/2) Our AI100 report on the state of AI is out! 📣 Even when my term as chair ended in 2025, I did not expect that our 2026 report would have a section on recursive self-improvement as a real thing... There is a lot more in the report!
https://t.co/b0udalYwn5
Excited to announce our new center, Conceptual Research on Safe AI! We aim to develop new frameworks informed by the latest advances but with an eye towards the future. 2nd link has mailing list, LinkedIn, YouTube, postdoc position!
https://t.co/L7oP9goyBj
https://t.co/1PK0YVCMig