29 citations · 80 across the 7 of their papers we have counts for
7 papers
Responsible Reporting for Frontier AI Development
Noam Kolt, Markus Anderljung, Joslyn Barnhart +7
Mitigating the risks from frontier AI systems requires up-to-date and reliable information about those systems. Organizations that develop and deploy frontier systems have signific…
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…
The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?
Tamay Besiroglu, Sage Andrus Bergerson, Amelia Michael +3
There are pronounced differences in the extent to which industrial and academic AI labs use computing resources. We provide a data-driven survey of the role of the compute divide i…
International Governance of Civilian AI: A Jurisdictional Certification Approach
Robert Trager, Ben Harack, Anka Reuel +9
This report describes trade-offs in the design of international governance arrangements for civilian artificial intelligence (AI) and presents one approach in detail. This approach…
Towards best practices in AGI safety and governance: A survey of expert opinion
Jonas Schuett, Noemi Dreksler, Markus Anderljung +4
A number of leading AI companies, including OpenAI, Google DeepMind, and Anthropic, have the stated goal of building artificial general intelligence (AGI) - AI systems that achieve…