Does confidential computing prove an AI benchmark is fair?
No. Confidential computing can help enforce boundaries around what participants can see during execution. Fairness and validity also depend on how tasks were selected, whether they resemble intended use, and what information could flow through other channels. A protected test can still measure a narrow or unrepresentative capability.
Answered in
Can AI Labs Sit an Exam Without Seeing the Questions?A confidential-computing pilot separates model weights from evaluation prompts, while leaving the harder question of test validity open.
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