22 citations · 33 across the 4 of their papers we have counts for
5 papers · 1 filter
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…
Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape
Jakub Kryś, Yashvardhan Sharma, Janet Egan
Advances in low-communication training algorithms are enabling a shift from centralised model training to compute setups that are either distributed across multiple clusters or dec…
Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation
Lennart Heim, Tim Fist, Janet Egan +5
As jurisdictions around the world take their first steps toward regulating the most powerful AI systems, such as the EU AI Act and the US Executive Order 14110, there is a growing…
Computing Power and the Governance of Artificial Intelligence
Girish Sastry, Lennart Heim, Haydn Belfield +16
Computing power, or "compute," is crucial for the development and deployment of artificial intelligence (AI) capabilities. As a result, governments and companies have started to le…
Oversight for Frontier AI through a Know-Your-Customer Scheme for Compute Providers
Janet Egan, Lennart Heim
To address security and safety risks stemming from highly capable artificial intelligence (AI) models, we propose that the US government should ensure compute providers implement K…