Rishi Bommasani

I am the Society Lead at the Stanford Center for Research on Foundation Models (CRFM).
I am finishing my PhD at Stanford Computer Science, advised by Percy Liang and Dan Jurafsky.
Funding: Lieberman Fellowship (active), NSF Graduate Research Fellowship (completed).

Prior to Stanford, I began research at Cornell (BA Math, BA CS, MS CS) under Claire Cardie.
I am honored to have worked with the late Professor Arzoo Katiyar.
Cornell CS holds a special place in my heart: the department wrote this about my journey. [Profile] [Profile 2]

I research the societal impact of AI, especially foundation models, to advance evidence-based AI policy.
My research has been featured in The Atlantic, Axios, Bloomberg, Euractiv, Fast Company, Financial Times, Fortune, The Information, MIT Technology Review, Nature, The New York Times, Politico, Quanta, Rappler, Reuters, Tech Policy Press, VentureBeat, The Verge, Vox, The Wall Street Journal and The Washington Post.

Updates

  • December 2024 The Reality of AI and Biorisk. [Paper]
  • December 2024 Effective Mitigations for Systemic Risks from General-Purpose AI. [Paper]
  • October 2024 Governance of Open Foundation Models (Published in Science). [Paper]
  • October 2024 Language model developers should report train-test overlap. [Paper]
  • September 2024 Science and Evidence-based AI Policy. [Paper]
  • June 2024 The Responsible Foundation Model Development Cheatsheet (Outstanding Survey Paper). [Website] [Paper]
  • May 2024 International Scientific Report on the Safety of Advanced AI. [Website] [Paper]
  • May 2024 Foundation Model Transparency Index v1.1: 6 months later. [Website] [Paper]
  • March 2024 A Safe Harbor for AI Evaluation and Red Teaming (Oral). [Website] [Paper] [Blog]
  • February 2024 On the Societal Impact of Open Foundation Models (Oral). [Website] [Paper] [Policy Brief]
  • February 2024 Foundation Model Transparency Reports (Oral). [Paper]
  • October 2023 The Foundation Model Transparency Index. [Website] [Paper] [Blog]
  • November 2022 Holistic Evaluation of Language Models (Best Paper). [Website] [Paper] [Blog]
  • August 2021 On the Opportunties and Risks of Foundation Models. [Paper] [Explainer Video]