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cs.CY2026
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
Alexander K. Saeri, Jess Graham, Michael Noetel +185
Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritizat…
cs.CY2026★ 3 cited
Measuring AI R&D Automation
Alan Chan, Ranay Padarath, Joe Kwon +2
The automation of AI R&D (AIRDA) could have significant implications, but its extent and ultimate effects remain uncertain. We need empirical data to resolve these uncertainties, b…
cs.AI2026
Internal Deployment Gaps in AI Regulation
Joe Kwon, Stephen Casper
Frontier AI regulations primarily focus on systems deployed to external users, where deployment is more visible and subject to outside scrutiny. However, high-stakes applications c…