Embedded AI evaluators won’t be an easy solution, Hugging Face’s… | HappeningNow.news

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Embedded AI evaluators won’t be an easy solution, Hugging Face’s policy chief says

AI labs have staked their reputations on model benchmarking — the supposedly neutral and accurate system of evaluations that are designed to measure whether one AI product is better than another.

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AI labs rely on model benchmarking to claim one product outperforms another, but the evaluation methods are still complex and evolving. Irene Solaiman, Hugging Face’s chief policy officer, said this during a discussion at TechCrunch Disrupt last week. She argued that testing must become a more consistent science for the industry to trust benchmarks in the future.

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