Google pilots world's first double-blind AI evaluations
Google DeepMind, in partnership with the Singapore AI Safety Institute, OpenMined, AVERI, and MLCommons, has piloted the world's first double-blind evaluation of a proprietary frontier-class AI model. The evaluation uses Google Cloud's Confidential Space to create a cryptographically secure environment where external evaluators cannot see the model's weights and Google cannot see the evaluators' test prompts. This prevents benchmark contamination, where models might have seen test questions in advance, and enhances the integrity of AI benchmarks. The pilot tested a Gemini Flash Lite model against confidential benchmarks, marking a significant step in secure model evaluation and building trust in AI systems.
What we know
Google DeepMind has introduced the world's first double-blind evaluation of a proprietary frontier-class AI model.
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The pilot tested a Gemini Flash Lite model against confidential benchmarks.
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Partners include the Singapore AI Safety Institute, OpenMined, AVERI, and MLCommons.
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The evaluation uses cryptographically secure environments to keep external evaluations confidential.
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The method prevents benchmark contamination and protects sensitive data.
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Google DeepMind, with partners, introduces the first double-blind evaluation of a proprietary frontier AI model, using cryptographic environments to prevent benchmark contamination.
Verified · 1 sourcesLive reports
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