Lennart Heim

According to our database, Lennart Heim authored at least 20 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Open Problems in Technical AI Governance.

Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager

CoRR, 2024

IDs for AI Systems.

Alan Chan, Noam Kolt, Peter Wills, Usman Anwar, Christian Schröder de Witt, Nitarshan Rajkumar, Lewis Hammond, David Krueger, Lennart Heim, Markus Anderljung

CoRR, 2024

Training Compute Thresholds: Features and Functions in AI Governance.

Lennart Heim

CoRR, 2024

Societal Adaptation to Advanced AI.

Jamie Bernardi, Gabriel Mukobi, Hilary Greaves, Lennart Heim, Markus Anderljung

CoRR, 2024

Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation.

Lennart Heim, Tim Fist, Janet Egan, Sihao Huang, Stephen A. Zekany, Robert Trager, Michael A. Osborne, Noa Zilberman

CoRR, 2024

Computing Power and the Governance of Artificial Intelligence.

Girish Sastry, Lennart Heim, Haydn Belfield, Markus Anderljung, Miles Brundage, Julian Hazell, Cullen O'Keefe, Gillian K. Hadfield, Richard Ngo, Konstantin Pilz, George Gor, Emma Bluemke, Sarah Shoker, Janet Egan, Robert F. Trager, Shahar Avin, Adrian Weller, Yoshua Bengio, Diane Coyle

CoRR, 2024

The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Tamay Besiroglu, Sage Andrus Bergerson, Amelia Michael, Lennart Heim, Xueyun Luo, Neil Thompson

CoRR, 2024

Position: Will we run out of data? Limits of LLM scaling based on human-generated data.

Pablo Villalobos, Anson Ho, Jaime Sevilla, Tamay Besiroglu, Lennart Heim, Marius Hobbhahn

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Visibility into AI Agents.

Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Responsible Reporting for Frontier AI Development.

Noam Kolt, Markus Anderljung, Joslyn Barnhart, Asher Brass, Kevin Esvelt, Gillian K. Hadfield, Lennart Heim, Mikel Rodriguez, Jonas B. Sandbrink, Thomas Woodside

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

Increased Compute Efficiency and the Diffusion of AI Capabilities.

Konstantin Pilz, Lennart Heim, Nicholas Brown

CoRR, 2023

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

Konstantin Pilz, Lennart Heim

CoRR, 2023

Oversight for Frontier AI through a Know-Your-Customer Scheme for Compute Providers.

Janet Egan, Lennart Heim

CoRR, 2023

International Governance of Civilian AI: A Jurisdictional Certification Approach.

Robert Trager, Ben Harack, Anka Reuel, Allison Carnegie, Lennart Heim, Lewis Ho, Sarah Kreps, Ranjit Lall, Owen Larter, Seán Ó hÉigeartaigh, Simon Staffell, José Jaime Villalobos

CoRR, 2023

Towards best practices in AGI safety and governance: A survey of expert opinion.

Jonas Schuett, Noemi Dreksler, Markus Anderljung, David McCaffary, Lennart Heim, Emma Bluemke, Ben Garfinkel

CoRR, 2023

2022

Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning.

Pablo Villalobos, Jaime Sevilla, Lennart Heim, Tamay Besiroglu, Marius Hobbhahn, Anson Ho

CoRR, 2022

Red-Teaming the Stable Diffusion Safety Filter.

Javier Rando, Daniel Paleka, David Lindner, Lennart Heim, Florian Tramèr

CoRR, 2022

Machine Learning Model Sizes and the Parameter Gap.

Pablo Villalobos, Jaime Sevilla, Tamay Besiroglu, Lennart Heim, Anson Ho, Marius Hobbhahn

CoRR, 2022

Compute Trends Across Three Eras of Machine Learning.

Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, Pablo Villalobos

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Measuring what Really Matters: Optimizing Neural Networks for TinyML.

Lennart Heim, Andreas Biri, Zhongnan Qu, Lothar Thiele

CoRR, 2021