most citedFrontier AI Regulation: Managing Emerging Risks to Public Safety

76 citations · 174 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2024★ 3 cited

Holistic Safety and Responsibility Evaluations of Advanced AI Models

Laura Weidinger, Joslyn Barnhart, Jenny Brennan +16

Safety and responsibility evaluations of advanced AI models are a critical but developing field of research and practice. In the development of Google DeepMind's advanced AI models…

cs.LG2024★ 11 cited

Evaluating Frontier Models for Dangerous Capabilities

Mary Phuong, Matthew Aitchison, Elliot Catt +24

To understand the risks posed by a new AI system, we must understand what it can and cannot do. Building on prior work, we introduce a programme of new "dangerous capability" evalu…

cs.AI2023★ 5 cited

International Governance of Civilian AI: A Jurisdictional Certification Approach

Robert Trager, Ben Harack, Anka Reuel +9

This report describes trade-offs in the design of international governance arrangements for civilian artificial intelligence (AI) and presents one approach in detail. This approach…

cs.CY2023★ 20 cited

International Institutions for Advanced AI

Lewis Ho, Joslyn Barnhart, Robert Trager +8

International institutions may have an important role to play in ensuring advanced AI systems benefit humanity. International collaborations can unlock AI's ability to further sust…

cs.CY2023★ 76 cited

Frontier AI Regulation: Managing Emerging Risks to Public Safety

Markus Anderljung, Joslyn Barnhart, Anton Korinek +21

Advanced AI models hold the promise of tremendous benefits for humanity, but society needs to proactively manage the accompanying risks. In this paper, we focus on what we term "fr…

cs.AI2023★ 59 cited

Model evaluation for extreme risks

Toby Shevlane, Sebastian Farquhar, Ben Garfinkel +18

Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities. Further progress in AI development could lead to ca…