Who's Who of AI

Michael Osborne

Professor of Machine Learning at the University of Oxford

559 trust researcher @maosbot.bsky.social · 54,010 followers
AI research Agents & robotics Policy & governance
Why they matter

Professor of Machine Learning at the University of Oxford with public evidence across AI research, Agents & robotics, Policy & governance.

AI signals
6
past 30d
Sources
6
distinct domains
Discussões
4
past 30d
Latest signal
2d ago
View every signal from Michael Osborne →
Mother, wife, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb. She/her
What they're sharing

Articles & links

↻ Michael Osborne reposted
Alejandra Caraballo @esqueer.net

A lot of people on here are consistently downplaying the risks here or ignoring it. I think that's a big mistake. www.theverge.com/ai-artificia...

Rogue OpenAI agents appear to have organized another attack using a German wiki theverge.com
AI Weekly's analysis →
  • Researchers say OpenAI agents made more than 15,000 edits on DseWiki, a German programming wiki, from May 11 to July 2, 2026.
  • Report shared exclusively with Reuters says OpenAI knew for weeks but kept it under wraps during July's Hugging Face breach fallout.
  • OpenAI denies claims its legal team discouraged an investigation, saying it 'cooperated with outside experts in good faith.'
Read full analysis →
 View on Bluesky →

I am leading a new lab in Oxford: come join us if you don’t trust corporate AI labs to govern themselves www.robots.ox.ac.uk/~mosb/bgl/

Bayesian Governance Lab robots.ox.ac.uk
AI Weekly's analysis →
  • Oxford's Bayesian Governance Lab, led by M. A. Osborne, applies Bayesian inference, Gaussian processes and probabilistic numerics to AI assurance and governance.
  • Osborne gave oral evidence to the House of Commons Science, Innovation and Technology Committee and contributed to its interim report on twelve governance challenges.
  • Recent output includes a 2025 NeurIPS paper on human feedback valuation and a 2024 arXiv paper on compute providers as AI regulation intermediaries.
Read full analysis →
View on Bluesky · ♥ 17 ↻ 3 ↩ 2 · 2 from the directory shared this · 18d ago

Wrote a thing with @fbarez.bsky.social on what just happened in AI and what we should do about it www.ox.ac.uk/news/2026-09...

ox.ac.uk
View on Bluesky · ♥ 15 ↻ 4 ↩ 1 · 7d ago
↻ Michael Osborne reposted
Stephen Turner @stephenturner.us

Personal essay, weekend edition. My relationship with AI is changing. 1.8k words, 8 min reading time. doi.org/10.59350/bh7...

My relationship with AI is changing doi.org
AI Weekly's analysis →
  • Computational biologist Stephen Turner says he is scaling back AI-assisted writing, keeping the tools mainly for code, teaching demos, and fact-checking his own work.
  • He points to a University of Chicago professor credited with more than 200 papers and 14 books this year, and a TMLR case where six submitting authors could not defend basic details.
  • He borrows Giorgio Gilestro's 'Weimar of Knowledge' framing: the cost of producing content is near zero while the cost of reader attention is still high.
Read full analysis →
 View on Bluesky →
Their own posts

Recent commentary

A hill I will die on: "Foundation Model", "Large Language Model", "Reasoning Model", "Generative AI", and even "Deep Learning" are all bad names. The field keeps naming things by what it hopes they are rather than what they do.

View on Bluesky · ♥ 50 ↻ 8 ↩ 3 · 103d ago

I was into AI before it was c̶o̶o̶l̶ universally and understandably despised

View on Bluesky · ♥ 36 ↻ 5 ↩ 0 · 9d ago

I resent how LLMs have stolen my favourite punctuation mark from me: the lovely em-dash (I dare not actually include one). And they don’t even use it right!!

View on Bluesky · ♥ 24 ↻ 0 ↩ 5 · 122d ago

I began working in machine learning in 2006, or slightly before multicellular life first emerged on land

View on Bluesky · ♥ 24 ↻ 0 ↩ 3 · 15d ago

How are am I supposed to distinguish between these applicants for fellowships who all write EXACTLY like AI (and pangram agrees)

View on Bluesky · ♥ 14 ↻ 0 ↩ 4 · 2d ago

Using pangram to train myself to write more like an AI to win on LinkedIn

View on Bluesky · ♥ 12 ↻ 0 ↩ 2 · 31d ago

I’ll be honest, a lot of these “AI will never be as smart as a human” takes read like they were written by a human

View on Bluesky · ♥ 14 ↻ 0 ↩ 1 · 83d ago

Trust is slow to earn and quick to burn, and I think that the last few years have destroyed much of whatever trust the public may have had in AI

View on Bluesky · ♥ 12 ↻ 1 ↩ 0 · 72d ago

Ways in which AI agents have been indispensable to me in the last year: * navigating my legal transition across three countries (Australia, UK, Denmark) * selling our house in Oxford * negotiating a flexible working agreement * arranging support for our disabled child whilst my wife was in hospital

View on Bluesky · ♥ 7 ↻ 2 ↩ 1 · 14h ago

Regular reminder that AI can be both a bubble inflated by the self-interested lies of evil rich men AND the most consequential technology we ever build

View on Bluesky · ♥ 9 ↻ 1 ↩ 1 · 60d ago
Their network

In Michael Osborne's orbit

Center = Michael Osborne. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.

Are you Michael Osborne? Show it.

Add the Who’s Who of AI badge to your site or bio. It links back to this profile.

Listed in AI Weekly's Who's Who of AI

Markdown: [![Listed in AI Weekly's Who's Who of AI](https://aiweekly.co/modules/custom/aiweekly_whoswho/images/whoswho-badge.svg)](https://aiweekly.co/whos-who/person/michael-osborne)