AI in America: OpenAI's Economic Blueprint

• Authority: Private-sector companies
• Collections: Corporate policies and commitments
• Most recent activity: Enacted
• Most recent activity date: 2025-01-13

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• Competitive dynamics

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Exposure to toxic content
• Compromise of privacy
• AI system security vulnerabilities
• False or misleading information
• Pollution of information ecosystem
• Disinformation, surveillance, and influence at scale
• Cyberattacks, weapon development or use
• Fraud, scams, and targeted manipulation
• AI possessing dangerous capabilities

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of risk domains, with primary focus on competitive dynamics (6.4) and governance structures. Brief mentions of child safety (1.2), security vulnerabilities (2.2), misinformation (3.1, 3.2), and malicious actors (4.1, 4.2, 4.3). The document is primarily a policy proposal focused on US competitiveness rather than comprehensive risk mitigation.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Information
• Scientific Research & Development Services
• National Security

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Educational Services
• Health Care & Social Assistance
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This is an internal corporate policy document from OpenAI, an AI development company. The primary sectors governed are Information (where OpenAI operates as an AI/technology company) and Scientific Research and Development Services (OpenAI's core R&D activities). The document also explicitly addresses AI applications in Education, Healthcare, Agriculture, Energy/Utilities, and National Security through proposed use cases and partnerships.

Legislative Status

Other

Legislative Status Summary

This is a private-sector policy proposal document that presents recommendations to the federal government rather than establishing binding legal obligations. It uses predominantly voluntary and aspirational language ('should', 'could', 'we believe') and lacks enforcement mechanisms.

Actors

Proposer

• Entity Types: AI_Developer
• Entities: OpenAI
• Summary: The document is explicitly authored by OpenAI as a policy proposal to the federal government, as indicated in the title and throughout the text where OpenAI describes its own positions and practices.

Target

• Entity Types: AI_Governance_Actor, AI_Developer
• Entities: federal government; US AI companies; AI developers; state governments; US allies and partner nations
• Summary: The document targets both the federal government (calling for specific actions and policies) and AI companies/developers (proposing standards and practices they should adopt). It also addresses state governments and international partners.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: federal government; national security departments and agencies; law enforcement
• Summary: The document proposes that the federal government and national security agencies would enforce standards and provide oversight, though enforcement mechanisms are voluntary and incentive-based rather than punitive.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: federal government; national security agencies
• Summary: The document proposes that federal government and national security agencies would monitor AI development through evaluations, testing, and information sharing, though this is presented as a voluntary partnership model.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document addresses multiple AI lifecycle stages with primary emphasis on deployment and operation/monitoring. It covers planning through national security strategy development, model building through frontier model development, verification through red-teaming and evaluations, deployment through export policies and government adoption, and operation/monitoring through ongoing safeguards and partnerships.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• Frontier AI
• AI Systems
• Open Weight / Open Source

Technical Scope Summary

The document explicitly focuses on frontier AI models, defined as 'the most state-of-the-art large language models that lead on capability benchmarks.' It does not explicitly mention general purpose AI, foundation models, or specific compute thresholds, though it discusses model capabilities and security evaluations.