Kevin Klyman

MS student, Stanford University

Joined

January 2024

Names

Kevin Klyman (Preferred)

Emails

****@stanford.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

MS student

Stanford University (stanford.edu)

2023 – Present

Advisors, Relations & Conflicts

Coauthor

Percy Liang

2023 – Present

Expertise

Law

Present

Foundation Models

2023 – Present

Publications

SpecEval: Evaluating Model Adherence to Behavior Specifications
Ahmed M Ahmed, Kevin Klyman, Yi Zeng, Sanmi Koyejo, Percy Liang
- Accepted by TMLR
- Readers: Everyone
Open Technical Problems in Open-Weight AI Model Risk Management
Stephen Casper, Kyle O'Brien, Shayne Longpre, Elizabeth Seger, Kevin Klyman, Rishi Bommasani, Aniruddha Nrusimha, Ilia Shumailov, Sören Mindermann, Steven Basart, Frank Rudzicz, Kellin Pelrine, Avijit Ghosh, Andrew Strait, Robert Kirk, Dan Hendrycks, Peter Henderson, J Zico Kolter, Geoffrey Irving, Yarin Gal et al. (2 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
SpecEval: Evaluating Model Adherence to Behavior Specifications
Ahmed M Ahmed, Kevin Klyman, Yi Zeng, Sanmi Koyejo, Percy Liang
- Submitted to ICLR 2026
- Readers: Everyone
Who Measures What Matters? An Analysis of Social Impact Evaluations in Foundation Model Reporting
Anka Reuel, Avijit Ghosh, Jenny Chim, Srishti Yadav, Usman Gohar, Jennifer Mickel, Andrew Tran, Pawan Sasanka Ammanamanchi, Mowafak Allaham, Hossein A. Rahmani, Mubashara Akhtar, Felix Friedrich, Robert Scholz, Michael Alexander Riegler, Jan Batzner, Eliya Habba, Arushi Saxena, Anastassia Kornilova, Kevin Wei, Prajna Soni et al. (13 additional authors not shown)
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
SpecEval: Evaluating Model Adherence to Behavior Specifications
Ahmed M Ahmed, Kevin Klyman, Yi Zeng, Sanmi Koyejo, Percy Liang
- RegML 2025 Poster
- Readers: Everyone
Do AI Companies Make Good on Voluntary Commitments to the White House?
Jennifer Wang, Kayla Huang, Kevin Klyman, Rishi Bommasani
- RegML 2025 Poster
- Readers: Everyone
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Kevin Klyman, Matthew Jagielski, Katja Filippova, Ken Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Eleni Triantafillou, Peter Kairouz, Nicole Elyse Mitchell, Niloofar Mireshghallah, Abigail Z. Jacobs, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Ilia Shumailov, Andreas Terzis et al. (17 additional authors not shown)
- NeurIPS 2025 Position Paper Track Oral
- Readers: Everyone
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, Dr. Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar et al. (14 additional authors not shown)
- ICML 2025 Workshop TAIG Poster
- Readers: Everyone
Fallacies of Data Transparency: Rethinking Nutrition Facts for AI
Judy Hanwen Shen, Ken Liu, Angelina Wang, Sarah H. Cen, Andy K Zhang, Caroline Meinhardt, Daniel Zhang, Kevin Klyman, Rishi Bommasani, Daniel E. Ho
- ICML 2025 Workshop TAIG Poster
- Readers: Everyone
Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
Shayne Longpre, Kevin Klyman, Ruth Elisabeth Appel, Sayash Kapoor, Rishi Bommasani, Michelle Sahar, Sean McGregor, Avijit Ghosh, Borhane Blili-Hamelin, Nathan Butters, Alondra Nelson, Dr. Amit Elazari, Andrew Sellars, Casey John Ellis, Dane Sherrets, Dawn Song, Harley Geiger, Ilona Cohen, Lauren McIlvenny, Madhulika Srikumar et al. (14 additional authors not shown)
- ICML 2025 Position Paper Track spotlightposter
- Readers: Everyone

View all 20 publications

Co-Authors

View all 213 co-authors