Scholar
Lennart Heim
Google Scholar ID: Au7RKsEAAAAJ
RAND, GovAI
Citations & Impact
Citations
2,314
H-index
19
i10-index
26
Publications
20
Co-authors
6
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published influential works on AI governance, compute policy, and AI diffusion, including:
- “China’s AI Models Are Closing the Gap—but America’s Real Advantage Lies Elsewhere”
- “Understanding the AI Diffusion Framework”
- “Training Compute Thresholds: Features and Functions in AI Regulation”
- “Societal Adaptation to Advanced AI”
- “Governing Through the Cloud: The Intermediary Role of Compute Providers in AI Regulation”
- “Computing Power and the Governance of AI”
- “Increased Compute Efficiency and the Diffusion of AI Capabilities”
- Research widely available on RAND website, Google Scholar, personal blog, and social media (e.g., X).
Research Experience
- Researcher at RAND leading compute research.
- Professor of Policy Analysis at Pardee RAND Graduate School teaching AI Governance.
- Former Senior Research Fellow at the Centre for the Governance of AI (GovAI); remains affiliated as an Adjunct Fellow.
- Member of the OECD.AI Expert Group on AI Compute and Climate.
- Pro Forecaster at INFER Pub.
- Strategy specialist at Epoch on AI governance strategy.
- Previously conducted research in neuroscience and explored wireless and embedded systems.
- Worked on helping people use evidence and reason to achieve altruistic goals.
- Worked internally at Amazon.
Background
- Researcher at RAND, leading compute research in the Technology and Security Policy Center within RAND Global and Emerging Risks.
- Professor of Policy Analysis at the Pardee RAND Graduate School, teaching a class on AI Governance.
- Based in Washington, DC.
- Research focuses on the role of compute in advanced AI systems and how compute can be leveraged as an instrument for AI governance, with emphasis on policy development and security implications.
- Regularly provides policy and technical advice to leading tech companies and governments, primarily in the US.
- Publications cover governance and impacts of advanced AI systems and empirical trends in machine learning, such as training compute, data, and AI hardware.
- Researches the intermediary role of compute/cloud providers in AI governance and societal adaptation to increasingly advanced AI systems.
