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Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts
arXiv:2606.04490v1 Announce Type: new Abstract: Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritization: we must understand which risks are most severe, who is most vulnerable, and who is most responsible for addressing them. We report results from a three-round Delphi study conducted late 2025 with 272 international AI experts.