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NTIA report on open-weight AI models
governmentOfficial 2024 NTIA report representing U.S. federal government analysis of open-weight AI models; key reference for anyone studying AI governance, dual-use risks, or the policy debate around open vs. closed foundation model releases.
Metadata
Importance: 72/100organizational reportprimary source
Summary
The U.S. National Telecommunications and Information Administration (NTIA) analyzes the risks and benefits of publicly releasing AI model weights, covering implications for safety, national security, market competition, and civil rights. Rather than prescribing immediate restrictions or mandates, the report recommends an evidence-based three-step framework: data collection, risk-benefit evaluation, and proportionate policy action. It serves as a foundational government assessment of the open vs. closed AI model debate.
Key Points
- •Identifies significant benefits of open model weights: democratizing AI development, reducing market concentration, and enabling privacy-preserving local deployment.
- •Flags substantial risks including potential misuse for weapons development, cyberattacks, disinformation, and harms to civil rights and equity.
- •Proposes a cautious, evidence-first approach rather than immediate regulation, emphasizing the need for better empirical data on open model ecosystem impacts.
- •Acknowledges deep uncertainty about whether open weights meaningfully increase risk beyond existing accessible information and tools.
- •Represents an official U.S. government position on AI openness, influencing future regulatory and policy frameworks for foundation models.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Open Source AI Safety | Approach | 62.0 |
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# Dual-Use Foundation Models with Widely Available Model Weights
NTIA Report JULY 2024
Contents
Executive Summary..
Overview
Glossary ..
Background .
AI Model Weights.. ..8
Model Openness as a Spectrum . 9
An Approach to Analysis of Marginal Risks and Benefits.. . 10
Risks and Benefits of Dual-Use Foundation Models with Widely Available Model Weights.. 12
Public Safety ... .. 13
Risks of Widely Available Model Weights for Public Safety.. 14
Benefits of Widely Available Model Weights for Public Safety.. . 17
Geopolitical Considerations 19
Geopolitical Risks of Widely Available Model Weights . 19
Geopolitical Benefits of Widely Available Model Weights ... . 22
Societal Risks and Well-Being . 23
Societal Risks of Widely Available Model Weights.. . 24
Societal Benefits of Widely Available Model Weights . 28
Competition, Innovation, and Research. ... 29
Risks of Widely Available Model Weights for Competition, Innovation, and Research........ 30
Benefits of Widely Available Model Weights for Competition, Innovation, and Research .. 31
Uncertainty in Future Risks and Benefits .. . 33
Summary of Risks and Benefits . . 34
Policy Approaches and Recommendations . .... 35
Policy Approaches . 36
Restrict the Availability of Model Weights for Dual-Use Foundation Models.. . 36
Continuously Evaluate the Dual-Use Foundation Model Ecosystem and Build
& Maintain the Capacity to Effectively Respond 37
Accept or Promote Openness .. . 39
Recommendations .. 40
Step 1: Collect Evidence.... .. 41
Step 2: Evaluate Evidence .. . 43
Step 3: Act on Evaluations... .. 45
Additional Government Action .. . 47
Conclusion . . 47
Appendix: Monitoring Template.. 48
# Executive Summary
# Overview
As stated by President Biden, “Artificial Intelligence (AI) holds extraordinary potential for both promise and perl.”1 The development of increasingly advanced AI models, such as dual-use foundation models, has significantly heightened the potential risks and benefits of AI systems. Many developers provide limited or no public access to the inner workings of their advanced models, ncluding their weights.2 In contrast, some developers, such as Meta, Google, Microsoft, Stability AI, Mistral, the Allen Institute for AI, and EleutherAI,3 have released models – though not always their most advanced models – with weights that are widely available (i.e., open to the public by allowing users to download these weights from the Internet or through other mechanisms).
Dual-use foundation models with widely available model weights (referred to in this Report as open foundation models) introduce a wide spectrum of benefits. They diversify and expand the array of actors, including less resourced act
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