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Advancing Science- and Evidence-based AI Policy

Effectively steering outcomes for and through AI will require thoughtful, evidence-based policy development. Though it may seem self-evident that evidence should inform policy, this is far from inevitable in the inherently messy policy process.

by Rishi BommasaniSanjeev AroraJennifer ChayesYejin ChoiMariano-Florentino (Tino) CuéllarLi Fei-FeiDaniel E. HoDan JurafskySanmi KoyejoHima LakkarajuArvind NarayananAlondra NelsonEmma PiersonJoelle PineauScott SingerGaël VaroquauxSuresh VenkatasubramanianIon StoicaPercy Liang, and Dawn Song
published by
Science
 on July 31, 2025
Carnegie does not take institutional positions on public policy issues; the views represented herein are those of the author(s) and do not necessarily reflect the views of Carnegie, its staff, or its trustees.