activity
20232026
most citedManaging extreme AI risks amid rapid progress

307 citations · 328 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CY2026

What if automating AI R&D triggers an intelligence explosion?

Alan Chan, Christoph Winter, Andrew Barto +19

In contrast to even a year ago, AI systems now write most of the code inside the companies that build them. As more of the AI research and development (R&D) pipeline is automated,…

cs.CY2026★ 2 cited

International AI Safety Report 2026

Yoshua Bengio, Stephen Clare, Carina Prunkl +89

The International AI Safety Report 2026 synthesises the current scientific evidence on the capabilities, emerging risks, and safety of general-purpose AI systems. The report series…

cs.CY2025★ 1 cited

International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management

Yoshua Bengio, Stephen Clare, Carina Prunkl +66

This second update to the 2025 International AI Safety Report assesses new developments in general-purpose AI risk management over the past year. It examines how researchers, publi…

cs.CY2025★ 3 cited

International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications

Yoshua Bengio, Stephen Clare, Carina Prunkl +70

Since the publication of the first International AI Safety Report, AI capabilities have continued to improve across key domains. New training techniques that teach AI systems to re…

cs.CY2025★ 15 cited

International AI Safety Report

Yoshua Bengio, Sören Mindermann, Daniel Privitera +93

The first International AI Safety Report comprehensively synthesizes the current evidence on the capabilities, risks, and safety of advanced AI systems. The report was mandated by…

cs.CY2023★ 307 cited

Managing extreme AI risks amid rapid progress

Yoshua Bengio, Geoffrey Hinton, Andrew Yao +22

Artificial Intelligence (AI) is progressing rapidly, and companies are shifting their focus to developing generalist AI systems that can autonomously act and pursue goals. Increase…