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In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI

Fuente: arXiv

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Bibliographic Details
Main Authors:	Longpre, Shayne, Klyman, Kevin, Appel, Ruth E., Kapoor, Sayash, Bommasani, Rishi, Sahar, Michelle, McGregor, Sean, Ghosh, Avijit, Blili-Hamelin, Borhane, Butters, Nathan, Nelson, Alondra, Elazari, Amit, Sellars, Andrew, Ellis, Casey John, Sherrets, Dane, Song, Dawn, Geiger, Harley, Cohen, Ilona, McIlvenny, Lauren, Srikumar, Madhulika, Jaycox, Mark M., Anderljung, Markus, Johnson, Nadine Farid, Carlini, Nicholas, Miailhe, Nicolas, Marda, Nik, Henderson, Peter, Portnoff, Rebecca S., Weiss, Rebecca, Westerhoff, Victoria, Jernite, Yacine, Chowdhury, Rumman, Liang, Percy, Narayanan, Arvind
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
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