activity
20192023
most citedFrontier AI Regulation: Managing Emerging Risks to Public Safety

76 citations · 231 across the 8 of their papers we have counts for

collaborators

9 papers

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…

cs.CY2022★ 25 cited

A Survey of the Potential Long-term Impacts of AI

Sam Clarke, Jess Whittlestone

It is increasingly recognised that advances in artificial intelligence could have large and long-lasting impacts on society. However, what form those impacts will take, just how la…

cs.CY2022★ 24 cited

AI Challenges for Society and Ethics

Jess Whittlestone, Sam Clarke

Artificial intelligence is already being applied in and impacting many important sectors in society, including healthcare, finance, and policing. These applications will increase a…

cs.CY2021★ 15 cited

Why and How Governments Should Monitor AI Development

Jess Whittlestone, Jack Clark

In this paper we outline a proposal for improving the governance of artificial intelligence (AI) by investing in government capacity to systematically measure and monitor the capab…

cs.CY2020★ 15 cited

Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society

Carina Prunkl, Jess Whittlestone

One way of carving up the broad "AI ethics and society" research space that has emerged in recent years is to distinguish between "near-term" and "long-term" research. While such w…