Article

The Hitchhiker's Guide to Actionable Interpretability

H. Orgad, F. Barez, T. Haklay, I. Lee, M. Mosbach, A. Reusch, N. Saphra, Et Al.

When AI Systems Learn During Deployment, Our Safety Evaluations Break

Chain-of-Thought Hijacking

J. Zhao, T. Fu, R. Schaeffer, M. Sharma, F. Barez

HACK: Hallucinations Along Certainty and Knowledge Axes

A. Simhi, J. Herzig, I. Itzhak, D. Arad, Z. Gekhman, R. Reichart, F. Barez, Et Al.

Val-Bench: Measuring Value Alignment in Language Models

A. Gupta, D. O'Shea, F. Barez

Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Language Models

P. Quirke, N. Oozeer, C. Bandi, A. Abdullah, J. Hoelscher-Obermaier, F. Barez, Et Al.

The Singapore Consensus on Global AI Safety Research Priorities

Y. Bengio, T. Maharaj, L. Ong, S. Russell, D. Song, M. Tegmark, L. Xue, F. Barez, Et Al.

SafetyNet: Detecting Harmful Outputs in LLMs by Modeling and Monitoring Deceptive Behaviors

M. Chaudhary, F. Barez

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons

S. Ghosh, H. Frase, A. Williams, S. Luger, P. Röttger, F. Barez, S. McGregor, Et Al.

Chain-of-Thought Is Not Explainability

F. Barez, T.-Y. Wu, I. Arcuschin, M. Lan, V. Wang, N. Siegel, N. Collignon, C. Neo, I. Lee, A. Paren, A. Bibi, R. Trager, D. Fornasiere, J. Yan, Y. Elazar, Y. Bengio