Skip to content
Longterm Wiki
Back

Lennart Heim - Publications | RAND

web

Credibility Rating

4/5
High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: RAND Corporation

This is the RAND publications page for Lennart Heim, a researcher focused on AI governance, compute policy, and hardware-enabled governance mechanisms relevant to AI safety and international AI competition.

Metadata

Importance: 45/100homepage

Summary

This page lists publications by Lennart Heim at RAND, covering AI governance topics including compute governance, export controls, AI incident reporting, energy requirements for AI, and international AI standards. His work spans technical and policy dimensions of AI oversight, particularly around hardware and compute as governance levers.

Key Points

  • Heim's research covers hardware-enabled governance mechanisms as tools for AI oversight and export control compliance.
  • Publications address AI compute power demands, energy infrastructure, and U.S. competitiveness in AI development.
  • Work includes analysis of AI export control frameworks and their implications for global AI ecosystems.
  • Research on verifying international AI agreements and incident reporting systems for general-purpose AI harms.
  • Engagement with NIST and policy bodies on AI standards reflects applied policy focus.

Cited by 1 page

PageTypeQuality
GovAIOrganization43.0

2 FactBase facts citing this source

Cached Content Preview

HTTP 200Fetched Apr 7, 20261 KB
Lennart Heim - Publications | RAND 
 
 

 
 
 
 
 
 
 
 

 
 
 
 
 
 
 
 
 
 
 
 

 
 
 
 
 

 
 

 
 
 

 
 Skip to page content 

 

 

 
 

 
 
 

 Lennart Heim - Publications

 

 
 
 
 
 Designing Incident Reporting Systems for Harms from General-Purpose AI

 2026

 
 
 

 
 
 
 
 AI's Power Requirements Under Exponential Growth: Extrapolating AI Data Center Power Demand and Assessing Its Potential Impact on U.S. Competitiveness

 2025

 
 
 

 
 
 
 
 Insights from a Workshop on Hardware-Enabled Governance Mechanisms

 2025

 
 
 

 
 
 
 
 Possible Options for Unlocking and Securing U.S. Energy for AI Production

 2025

 
 
 

 
 
 
 
 RAND Response to NIST Request for Input on AI 100-5, “A Plan for Global Engagement on AI Standards”

 2025

 
 
 

 
 
 
 
 Understanding the Artificial Intelligence Diffusion Framework: Can Export Controls Create a U.S.-Led Global Artificial Intelligence Ecosystem?

 2025

 
 
 

 
 
 
 
 The United Arab Emirates' AI Ambitions: Key Implications for Maintaining U.S. AI Leadership

 2025

 
 
 

 
 
 
 
 Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment

 2025

 
 
 

 
 
 
 
 Hardware-Enabled Governance Mechanisms: Developing Technical Solutions to Exempt Items Otherwise Classified Under Export Control Classification Numbers 3A090 and 4A090

 2024
Resource ID: kb-e0de6107fe467472