Generative AI: Perspectives from Stanford HAI

Authors: Various Stanford HAI faculty and experts including Fei-Fei Li, Russ Altman, Curtis Langlotz, Surya Ganguli, James Landay, Michele Elam, Daniel E. Ho, Percy Liang, Erik

Abstract

Reflecting a collective view from Stanford HAI leadership, the report outlines both the potential for generative AI models to revolutionize fields as diverse as medicine and the arts, and warns of risks including bias, misinformation, and inequity. It calls for research into robust data practices, fairness, and ethical guardrails as generative AI takes a central role across industries.

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Last updated on November 7, 2026