[New Paper] Prioritizing Risks from AI: A Delphi Study of 272 Experts

TL;DR: We ran a Delphi study with 272 international AI experts to prioritize 24 AI risk domains from the MIT AI Risk Domain Taxonomy. In a business-as-usual scenario, experts judged a more than 10% chance of catastrophic outcomes (i.e., ‘more than 1 million human deaths or more than a USD 100B in financial loss or civilizational-scale intangible impacts’) from 18 of our 24 AI risk domains over the next five years. They also identified a responsibility gap: AI users and affected stakeholders are ...