activity
20232025
most citedComputing Power and the Governance of Artificial Intelligence

22 citations · 42 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CY2025

Designing Incident Reporting Systems for Harms from General-Purpose AI

Kevin Wei, Lennart Heim

We introduce a conceptual framework and provide considerations for the institutional design of AI incident reporting systems, i.e., processes for collecting information about safet…

cs.CY2025★ 2 cited

Trends in AI Supercomputers

Konstantin F. Pilz, James Sanders, Robi Rahman +1

Frontier AI development relies on powerful AI supercomputers, yet analysis of these systems is limited. We create a dataset of 500 AI supercomputers from 2019 to 2025 and analyze k…

cs.CY2024

Training Compute Thresholds: Features and Functions in AI Regulation

Lennart Heim, Leonie Koessler

Regulators in the US and EU are using thresholds based on training compute--the number of computational operations used in training--to identify general-purpose artificial intellig…

cs.CY2024★ 4 cited

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…

cs.CY2024★ 22 cited

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…

cs.CY2023★ 4 cited

Compute at Scale: A Broad Investigation into the Data Center Industry

Konstantin Pilz, Lennart Heim

This report characterizes the data center industry and its importance for AI development. Data centers are industrial facilities that efficiently provide compute at scale and thus…

cs.CY2023★ 3 cited

Increased Compute Efficiency and the Diffusion of AI Capabilities

Konstantin Pilz, Lennart Heim, Nicholas Brown

Training advanced AI models requires large investments in computational resources, or compute. Yet, as hardware innovation reduces the price of compute and algorithmic advances mak…

cs.CY2023★ 7 cited

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…