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How to Avoid Debate: Scalable AI Safety via Doubly-Efficient Interactive Proofs
arXiv:2607.03561v1 Announce Type: new Abstract: 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 focuses on verification via debate, a model of interactive proofs where two competing powerful provers, or AI models, debate each other to convince a weak verifier, or a human, of the correctness of their claim. However, debate assumes that the two AI models possess equal abil...
arXiv cs.AI
·Liyan Chen, Yael Tauman Kalai, Zoe Xi
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