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Record STMT-W2B2FE4Advisory

The National Artificial Intelligence Research and Development Strategic Plan

THE NATIONAL ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT STRATEGIC PLAN

Strategy State lawNorthern America · USadopted

The National Artificial Intelligence Research and Development Strategic Plan outlines federal priorities for artificial intelligence research and development. It establishes seven key strategies covering long-term investments, human-AI collaboration, ethical and legal implications, safety and security, shared public datasets, standards and benchmarks, and workforce needs. The plan aims to drive scientific discovery while mitigating risks and ensuring responsible, safe, and beneficial uses of AI.

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

Who issued it

National Science and Technology CouncilGovernment (executive) · US
Lead issuer
Office of Science and Technology PolicyGovernment (executive) · US
Publisher
Networking and Information Technology Research and Development National Coordination OfficeGovernment · US
Contributor
Legal forceAdvisory
Under whose authorityState law
Judged fromfull text

Who it governs

National governmentPublic sector bodiesAI developers and providersResearchers and academics

Federal agencies, policymakers, researchers, and developers should read this to understand national priorities and coordination frameworks for AI research and development.

Sectors
Research and science · artificial intelligence research and developmentPublic administration

What the document contains

What's covered

The document addresses federal strategic priorities for artificial intelligence research and development, covering long-term investments, human-AI collaboration, ethical and legal implications, safety and security, shared public datasets, standards and benchmarks, and workforce needs. It provides a framework for coordinating federally-funded AI research across government agencies.

What's missing

The plan does not set binding policy on the commercial use or regulation of AI technologies, nor does it explore detailed macroeconomic policies regarding employment and job displacement.

Key takeaways
  • Federal R&D investments should prioritize areas of strong societal importance and long-term horizons that private industry is unlikely to address.
  • Research must focus on creating effective interactions and collaboration methods between humans and AI systems.
  • Developing AI systems that align with ethical, legal, and societal goals is essential for responsible use.
  • Ensuring the safety, reliability, and security of AI systems requires addressing complex environments and potential emergent behaviors.
  • Shared public datasets, training environments, standards, and benchmarks are critical for measuring progress and driving AI innovation.
  • Understanding and supporting national AI workforce needs is necessary to maintain leadership in artificial intelligence research.
Outline
· Executive Summary
· Introduction
· R&D Strategy
  - Strategy 1: Make Long-Term Investments in 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 Technologies through Standards and Benchmarks
  - Strategy 7: Better Understand the National AI R&D Workforce Needs
· Recommendations
· Acronyms
IssuedOctober 2016
Length18,929 words · 48 pages
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

Improving fairness, transparency, and accountability-by-design

Strategy 3

screening score · 2026-10-23

Fairness

3/5

Non-discrimination and equitable treatment

Many concerns have been voiced about the susceptibility of data-intensive AI algorithms to error and misuse, and the possible ramifications for gender, age, racial, or economic classes.

Strategy 3

screening score · 2026-10-23

Human Dignity

1/5

Respect for the inherent worth of persons

improved educational opportunities and quality of life, and enhanced national and homeland security.

Executive Summary

screening score · 2026-10-23

Human Oversight

3/5

Humans remain in control of consequential decisions

Rather than replace humans, most AI systems will collaborate with humans to achieve optimal performance. Research is needed to create effective interactions between humans and AI systems.

Executive Summary

screening score · 2026-10-23

Privacy

3/5

Protection of personal data and private life

Privacy concerns must also be taken into account; further information on this issue can be found in the National Privacy Research Strategy.

Strategy 3

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

None

screening score · 2026-10-23

Impact Assessment

3/5

Required assessment of an AI system's risks/impacts before or during use

Research is needed to understand the ethical, legal, and social implications of AI, and to develop methods for designing AI systems that align with ethical, legal, and societal goals.

Executive Summary

screening score · 2026-10-23

Topics

Physical AI Governancesupporting
artificial_intelligence research_and_development ethics safety_and_security workforce