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cs.AI2026
How to Avoid Debate: Scalable AI Safety via Doubly-Efficient Interactive Proofs
Liyan Chen, Yael Tauman Kalai, Zoe Xi
As AI models continue to develop powerful capabilities, it becomes critical that we are able to verify that their output is aligned with our intentions. A recent line of work focus…
cs.AI2025
Consensus Sampling for Safer Generative AI
Adam Tauman Kalai, Yael Tauman Kalai, Or Zamir
Motivated by undetectable risks in generative AI, we study a general robust aggregation problem: how to aggregate several probability distributions to boost safety. We present cons…