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Stanford HAI leaders urge people-centered, verifiable AI in scientific research

1 article1 sourcesince Oct 8Last article

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Stanford HAI associate directors Risa Wechsler and Russ Altman told incoming Stanford students, faculty, and staff that AI agents can help researchers write code and tackle more ambitious questions.

They stressed that AI-generated results need rigorous, reproducible methods, measured uncertainty, and careful attention to missing data, systematic errors, and biased models. Altman also argued that labs should preserve mentorship and interdisciplinary collaboration while adopting AI tools.

Written by AI from one article, by Stanford HAI

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Oct 8
  1. Stanford HAI
    Stanford HAI leaders urge keeping people central as AI transforms research

    AIStanford HAI associate directors Risa Wechsler and Russ Altman told incoming Stanford students, faculty, and staff that AI agents can help researchers write code and tackle more ambitious questions. They stressed that AI-generated results need rigorous, reproducible methods, measured uncertainty, and careful attention to missing data, systematic errors, and biased models. Altman also argued that labs should preserve mentorship and interdisciplinary collaboration while adopting AI tools.

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