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

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

Hugging Face's policy chief warns against leaning on embedded AI evaluators

Embedded AI evaluators risk compromising oversight integrity, necessitating stringent independence safeguards to ensure unbiased assessments.

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. However, the methods behind these evaluations are complicated and still maturing, said Irene Solaiman,…