44 citations · 44 across the 4 of their papers we have counts for
5 papers
Mapping U.S. Federal AI Governance Against Sector Vulnerability
Ho Ting Hung, Angelica Chowdhury, James Teague +5
Artificial intelligence (AI) poses different levels of risk across sectors, but are these differences reflected in U.S. federal AI governance? To help answer this question, we asse…
Assessing Company Contributions to Societal Resilience: Extending the Societal Capacity Assessment Framework to Agentic AI
Catherine Simons, Alexander K. Saeri, Peter Slattery +1
Companies that deploy AI agents and make them available to others are creating the sociotechnical circumstances under which this technology integrates into existing social and econ…
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…
Mapping AI Risk Mitigations: Evidence Scan and Preliminary AI Risk Mitigation Taxonomy
Alexander K. Saeri, Sophia Lloyd George, Jess Graham +4
Organizations and governments that develop, deploy, use, and govern AI must coordinate on effective risk mitigation. However, the landscape of AI risk mitigation frameworks is frag…
The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence
Peter Slattery, Alexander K. Saeri, Emily A. C. Grundy +7
Artificial intelligence (AI) is reshaping society, from video generation to medical diagnosis, coding agents to autonomous vehicles. Yet researchers, policymakers, and technology c…