Co-president and scientific director of LawZero
Yoshua Bengio
Yoshua Bengio is co-president and scientific director of LawZero, a deep learning researcher and Université de Montréal professor studying AI safety.
About Yoshua Bengio
Yoshua Bengio is co-president and scientific director of LawZero, which he founded in 2025 to pursue research on safer AI. He is also a professor of computer science at Université de Montréal, founder and scientific advisor of Mila, and chair of the International AI Safety Report.
His research helped establish deep learning as a major approach to artificial intelligence. He received the 2018 ACM A.M. Turing Award alongside Geoffrey Hinton and Yann LeCun. Since 2023, his stated research focus has shifted toward reducing the risks posed by increasingly capable AI systems.
Mentioned in our coverage
18 articles name Yoshua Bengio, excluding author credits.
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- Only 3.6% of 857 Chinese AI Model Releases Came With a Safety Result, SemiAnalysis Finds →
SemiAnalysis published a release census of nine Chinese AI labs: of 857 model releases from 2021 to September 15, 2026, only 31 ever had a developer-published safety result and 9 had one at launch. This post walks through the method, the lab-by-lab picture, the argument about Beijing and the pacing debate, and the limits of the data.
- Bengio to AI Researchers: “If You Prioritize Safety, Leave Frontier AI Companies” →
In an exclusive essay for Transformer on October 8, 2026, Yoshua Bengio asks frontier AI employees to reflect on whether to stay, and says that if they truly prioritize safety it is time to leave. He points to LawZero, which Canada and Germany committed more than $200 million to this month.
- OpenAI Safety Lead David Robinson Quits: "Its Culture Is Broken" →
David Robinson led the writing of the safety reports that shipped with OpenAI releases. On October 3, 2026 he resigned in The Atlantic, arguing the problem is culture, not rules. Here is what he claimed, how OpenAI and Hacker News responded, and what it means for anyone building on agents.
- Hinton Points to CASP Intelligence Explosion Paper — What It Says →
On October 3, 2026 (early morning IST), Geoffrey Hinton amplified a Cambridge CASP working paper he co-authored arguing that recursive self-improvement could trigger an intelligence explosion quite soon. explainx.ai reads the paper itself — authors, stated timelines, frictions, and what builders should do differently — without inventing a year the authors did not give.