4 papers · 1 filter
Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies
Miles Brundage, Noemi Dreksler, Aidan Homewood +45
We outline a vision for frontier AI auditing, which we define as rigorous third-party verification of frontier AI developers' safety and security claims, and evaluation of their sy…
Emergency Response Measures for Catastrophic AI Risk
James Zhang, Miles Kodama, Zongze Wu +3
Chinese authorities are extending the country's four-phase emergency response framework (prevent, warn, respond, and recover) to address risks from advanced artificial intelligence…
Mapping Industry Practices to the EU AI Act's GPAI Code of Practice Safety and Security Measures
Lily Stelling, Mick Yang, Rokas Gipiškis +5
This report provides a detailed comparison between the Safety and Security measures proposed in the EU AI Act's General-Purpose AI (GPAI) Code of Practice (Third Draft) and the cur…
Third-party compliance reviews for frontier AI safety frameworks
Aidan Homewood, Sophie Williams, Noemi Dreksler +11
Safety frameworks have emerged as a best practice for managing risks from frontier artificial intelligence (AI) systems. However, it may be difficult for stakeholders to know if co…