76 citations · 231 across the 8 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
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…
The Transformative Potential of Artificial Intelligence
Ross Gruetzemacher, Jess Whittlestone
The terms 'human-level artificial intelligence' and 'artificial general intelligence' are widely used to refer to the possibility of advanced artificial intelligence (AI) with pote…
The tension between openness and prudence in AI research
Jess Whittlestone, Aviv Ovadya
This paper explores the tension between openness and prudence in AI research, evident in two core principles of the Montréal Declaration for Responsible AI. While the AI community…
Reducing malicious use of synthetic media research: Considerations and potential release practices for machine learning
Aviv Ovadya, Jess Whittlestone
The aim of this paper is to facilitate nuanced discussion around research norms and practices to mitigate the harmful impacts of advances in machine learning (ML). We focus particu…