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Record STMT-WF557EEAspirational

National Artificial Intelligence Research and Development Strategic Plan: 2023 Update

NATIONAL ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT STRATEGIC PLAN 2023 UPDATE

Strategy Institutional policyNorthern America · USadopted

The National Artificial Intelligence Research and Development Strategic Plan 2023 Update serves as a roadmap to coordinate federal AI research investments, maintain U.S. leadership in trustworthy AI, and prepare the workforce. It reaffirms eight previous strategies from earlier plans and introduces a ninth strategy focused on establishing a principled and coordinated approach to international collaboration in AI research. The plan prioritizes fundamental research, human-AI collaboration, ethical and societal implications, safety, security, shared resources, standards, workforce needs, public-private partnerships, and international cooperation.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Office of Science and Technology PolicyGovernment (executive) · US
Lead issuer
Legal forceAspirational
Under whose authorityInstitutional policy
Judged fromfull text

Who it governs

National governmentPublic sector bodiesAI developers and providersResearchers and academics

Federal agencies, researchers, policymakers, and industry partners involved in funding, guiding, or executing artificial intelligence research and development.

Sectors
Research and science · artificial intelligence research and development

What the document contains

What's covered

The document defines major research challenges and strategic priorities for federal artificial intelligence R&D investments across nine key areas, ranging from fundamental algorithmic research and human-AI teaming to safety, standards, workforce development, and international collaboration.

What's missing

The plan explicitly excludes binding regulatory rules or enforcement mechanisms, leaving legislative governance discussions to separate frameworks such as the Blueprint for an AI Bill of Rights and the AI Risk Management Framework.

Key takeaways
  • The 2023 update reaffirms eight foundational AI R&D strategies from previous plans while adding a new ninth strategy on international collaboration.
  • Federal R&D investments must prioritize responsible AI innovation that serves the public good and protects rights, safety, and democratic values.
  • Democratizing access to advanced computing resources, datasets, and testbeds is essential to support a diverse and competitive AI research ecosystem.
  • Developing robust standards, benchmarks, and auditing techniques is critical to verify AI trustworthiness, safety, and security.
  • Cross-sector public-private partnerships and international cooperation are vital to accelerate breakthroughs and address global challenges.
Principles it states
Trustworthy AIScientific IntegritySafety by DesignEquity and Fairness
Outline
· Executive Summary
· Introduction to the National AI R&D Strategic Plan: 2023 Update
· Strategy 1: Make Long-Term Investments in Fundamental and Responsible AI Research
· Strategy 2: Develop Effective Methods for Human-AI Collaboration
· Strategy 3: Understand and Address the Ethical, Legal, and Societal Implications of AI
· Strategy 4: Ensure the Safety and Security of AI Systems
· Strategy 5: Develop Shared Public Datasets and Environments for AI Training and Testing
· Strategy 6: Measure and Evaluate AI Systems through Standards and Benchmarks
· Strategy 7: Better Understand the National AI R&D Workforce Needs
· Strategy 8: Expand Public-Private Partnerships to Accelerate Advances in AI
· Strategy 9: Establish a Principled and Coordinated Approach to International Collaboration in AI Research
· Evaluating Federal Agencies’ Implementation of the NAIIA and Strategic Plan
Issued23 May 2023
Length26,033 words
FormatNot recorded
Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

3/5

Clear responsibility for AI outcomes

Efforts to develop metrics and frameworks for verifiable accountability, fairness, privacy, and bias are also essential.

Executive Summary

screening score · 2026-10-23

Fairness

3/5

Non-discrimination and equitable treatment

Develop approaches to understand and mitigate the ethical, legal, and social risks posed by AI to ensure that AI systems reflect our Nation’s values and promote equity.

Executive Summary

screening score · 2026-10-23

Privacy

3/5

Protection of personal data and private life

There is also a need for technical research to develop metrics and frameworks for accountability, fairness, privacy, and bias.

Strategy 3

screening score · 2026-10-23

Transparency

3/5

Openness about how AI systems work and are used

According to the 2022 AI Index Report, publications addressing AI fairness and transparency have quintupled over the past decade.

Strategy 3

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

N/A

screening score · 2026-10-23

Topics

artificial_intelligence research_and_development strategic_plan trustworthy_ai international_collaboration