The Foundation Model Transparency Index. - Rishi Bommasani; Kevin Klyman; Shayne Longpre; Sayash Kapoor; Nestor Maslej; Betty Xiong; Daniel Zhang; Percy Liang (CoRR, 2023)

Foundation Model Transparency Reports. - Rishi Bommasani; Kevin Klyman; Shayne Longpre; Betty Xiong; Sayash Kapoor; Nestor Maslej; Arvind Narayanan; Percy Liang (AIES (1), 2024)

Acceptable Use Policies for Foundation Models. - Kevin Klyman (AIES (1), 2024)

Position: On the Societal Impact of Open Foundation Models. - Sayash Kapoor; Rishi Bommasani; Kevin Klyman; Shayne Longpre; Ashwin Ramaswami; Peter Cihon; Aspen K. Hopkins; Kevin Bankston; Stella Biderman; Miranda Bogen; Rumman Chowdhury; Alex Engler; et al. (ICML, 2024)

Position: A Safe Harbor for AI Evaluation and Red Teaming. - Shayne Longpre; Sayash Kapoor; Kevin Klyman; Ashwin Ramaswami; Rishi Bommasani; Borhane Blili-Hamelin; Yangsibo Huang; Aviya Skowron; Zheng Xin Yong; Suhas Kotha; Yi Zeng 005; Weiyan Shi; et al. (ICML, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (NeurIPS, 2024)

A Safe Harbor for AI Evaluation and Red Teaming. - Shayne Longpre; Sayash Kapoor; Kevin Klyman; Ashwin Ramaswami; Rishi Bommasani; Borhane Blili-Hamelin; Yangsibo Huang; Aviya Skowron; Zheng Xin Yong; Suhas Kotha; Yi Zeng 005; Weiyan Shi; et al. (CoRR, 2024)

On the Societal Impact of Open Foundation Models. - Sayash Kapoor; Rishi Bommasani; Kevin Klyman; Shayne Longpre; Ashwin Ramaswami; Peter Cihon; Aspen K. Hopkins; Kevin Bankston; Stella Biderman; Miranda Bogen; Rumman Chowdhury; Alex Engler; et al. (CoRR, 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies. - Yi Zeng 005; Kevin Klyman; Andy Zhou; Yu Yang 011; Minzhou Pan; Ruoxi Jia 001; Dawn Song; Percy Liang; Bo Li 026 (CoRR, 2024)

The Foundation Model Transparency Index v1.1: May 2024. - Rishi Bommasani; Kevin Klyman; Sayash Kapoor; Shayne Longpre; Betty Xiong; Nestor Maslej; Percy Liang (CoRR, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (CoRR, 2024)

AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies. - Yi Zeng 005; Yu Yang 011; Andy Zhou; Jeffrey Ziwei Tan; Yuheng Tu; Yifan Mai 001; Kevin Klyman; Minzhou Pan; Ruoxi Jia 001; Dawn Song; Percy Liang; Bo Li 026 (CoRR, 2024)

Language model developers should report train-test overlap. - Andy K. Zhang; Kevin Klyman; Yifan Mai 001; Yoav Levine; Yian Zhang; Rishi Bommasani; Percy Liang (CoRR, 2024)

Bridging the Data Provenance Gap Across Text, Speech and Video. - Shayne Longpre; Nikhil Singh 003; Manuel Cherep; Kushagra Tiwary; Joanna Materzynska; William Brannon; Robert Mahari; Manan Dey; Mohammed Hamdy; Nayan Saxena; Ahmad Mustafa Anis; Emad A. Alghamdi; et al. (CoRR, 2024)

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources. - Shayne Longpre; Stella Biderman; Alon Albalak; Hailey Schoelkopf; Daniel McDuff; Sayash Kapoor; Kevin Klyman; Kyle Lo; Gabriel Ilharco; Nay San; Maribeth Rauh; Aviya Skowron; et al. (Trans. Mach. Learn. Res., 2024)

Comparing Apples to Oranges: A Taxonomy for Navigating the Global Landscape of AI Regulation. - Sacha Alanoca; Shira Gur-Arieh; Tom Zick; Kevin Klyman (FAccT, 2025)

Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains. - Aspen K. Hopkins; Isabella Struckman; Kevin Klyman; Susan S. Silbey (FAccT, 2025)

Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers. - Jared Moore; Declan Grabb; William Agnew; Kevin Klyman; Stevie Chancellor; Desmond C. Ong; Nick Haber (FAccT, 2025)

AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories. - Yi Zeng 005; Yu Yang 011; Andy Zhou; Jeffrey Ziwei Tan; Yuheng Tu; Yifan Mai 001; Kevin Klyman; Minzhou Pan; Ruoxi Jia 001; Dawn Song; Percy Liang; Bo Li 026 (ICLR, 2025)

The 2024 Foundation Model Transparency Index. - Rishi Bommasani; Kevin Klyman; Sayash Kapoor; Shayne Longpre; Betty Xiong; Nestor Maslej; Percy Liang (Trans. Mach. Learn. Res., 2025)

The 2023 Foundation Model Transparency Index. - Rishi Bommasani; Kevin Klyman; Shayne Longpre; Sayash Kapoor; Nestor Maslej; Betty Xiong; Daniel Zhang; Percy Liang (Trans. Mach. Learn. Res., 2025)

In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI. - Shayne Longpre; Kevin Klyman; Ruth E. Appel; Sayash Kapoor; Rishi Bommasani; Michelle Sahar; Sean McGregor; Avijit Ghosh; Borhane Blili-Hamelin; Nathan Butters; Alondra Nelson; Amit Elazari; et al. (CoRR, 2025)

New Tools are Needed for Tracking Adherence to AI Model Behavioral Use Clauses. - Daniel McDuff; Tim Korjakow; Kevin Klyman; Danish Contractor (CoRR, 2025)

A Different Approach to AI Safety: Proceedings from the Columbia Convening on Openness in Artificial Intelligence and AI Safety. - Camille François; Ludovic Peran; Ayah Bdeir; Nouha Dziri; Will Hawkins; Yacine Jernite; Sayash Kapoor; Juliet Shen; Heidy Khlaaf; Kevin Klyman; Nik Marda; Marie Pellat; et al. (CoRR, 2025)

Do AI Companies Make Good on Voluntary Commitments to the White House? - Jennifer Wang; Kayla Huang; Kevin Klyman; Rishi Bommasani (CoRR, 2025)