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Google explains its evaluation of AI for health
On November 4, Google shared a framework for evaluating artificial intelligence use cases in health, developed with health experts Dr. Elizabeth McGlynn and Dr. Dana Gelb Safran. The approach examines three dimensions: accuracy, safety, and usefulness. Google
Automated testing and expert review
The method combines closed-ended question benchmarks, tests that allow answers to be checked against defined criteria, with automated evaluators and expert human review. According to Google, this combination makes it possible to examine common scenarios and high-risk situations, considering both the quality of the answers and the safety of the interactions. Google
The company says it uses the framework to evaluate whether its models provide useful and accurate answers and promote safe interactions in health contexts. The announcement links to a white paper, a technical document that details the evaluation methodology. Google
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