most citedFrom Silos to Systems: Process-Oriented Hazard Analysis for AI Systems

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cs.CY2026

Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics

Jessica Y. Bo, Paula Akemi Aoyagui, Shalaleh Rismani +3

Safety risks of AI are becoming increasingly evident in human interactions with AI technologies. The prominent approaches to evaluating these risks favor technical methods, such as…

cs.CY20261 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

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

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

When Openness Fails: Lessons from System Safety for Assessing Openness in AI

Tamara Paris, Shalaleh Rismani

Most frameworks for assessing the openness of AI systems use narrow criteria such as availability of data, model, code, documentation, and licensing terms. However, to evaluate whe…