most citedMapping Industry Practices to the EU AI Act's GPAI Code of Practice Safety and Security Measures

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

An Independent Safety Evaluation of Kimi K2.5

Zheng-Xin Yong, Parv Mahajan, Andy Wang +12

Kimi K2.5 is an open-weight LLM that rivals closed models across coding, multimodal, and agentic benchmarks, but was released without an accompanying safety evaluation. In this wor…

cs.CY2026★ 1 cited

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…

cs.CY2025

Frontier Safety Policies for AI Emergency Preparedness in China

James Zhang, Miles Kodama, Zongze Wu +3

Chinese authorities now recognize artificial intelligence incidents as a potential source of catastrophe, comparable to natural disasters, cyberattacks, and epidemics. Current regu…

cs.CY2025

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…

cs.CY2025★ 1 cited

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…