2025
ICML
ICML 2025
Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
Abstract
No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.
👥
Mega-Team
- 34 authors
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Interdisciplinary Bridge
- Artificial Intelligence and Computer Science
Authors
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,
Mark M. Jaycox,
Markus Anderljung,
Nadine Farid Johnson,
Nicholas Carlini,
Nicolas Miailhe,
Nik Marda,
Peter Henderson,
Rebecca S. Portnoff,
Rebecca Weiss,
Victoria Westerhoff,
Yacine Jernite,
Rumman Chowdhury,
Percy Liang,
Arvind Narayanan