United States - AI Research Strategy (2021)
National Artificial Intelligence Research and Development (R&D) Strategic Plan (2021 update)
United States
RAI-US-NA-NAIRDXX-2021No standalone, formal "2021 update" to the National AI R&D Strategic Plan was published by the National Science and Technology Council (NSTC). The U.S. federal AI R&D strategy originates in the 2016 plan and was formally updated in 2019 and again in 2023; 2021 saw major institutional developments (establishment of the National AI Initiative Office and launch of the NAIRR Task Force) that materially shaped implementation. This entry documents those 2021 actions alongside the official 2016/2019/2023 strategic plan texts and related federal implementation activity.
Summary
Background and scope: The National Artificial Intelligence Research and Development (R&D) Strategic Plan provides coordinated, interagency guidance on Federal AI research priorities. The original plan was published in October 2016 by the National Science and Technology Council (NSTC) and updated in June 2019. The 2019 update identified eight strategic priorities for Federal R&D investment in AI. In administration and congressional actions during 2020–2021 (notably the National Artificial Intelligence Initiative Act of 2020, enacted January 1, 2021), the Federal government established implementing institutions — most prominently the National Artificial Intelligence Initiative Office (NAIIO) within OSTP (launched January 12, 2021) — and directed creation of the National AI Research Resource (NAIRR) Task Force, launched June 2021. These actions operationalized and expanded the reach of the strategic plan even though no discrete document titled a "2021 update" to the strategic plan was published by NSTC.
Content and objectives: The strategic plan (as set out across the 2016, 2019, and 2023 documents) sets out multi-year research priorities: long‑term fundamental AI research; human‑AI collaboration; ethical, legal, and societal implications (ELSI) research; safety and security of AI systems; shared public datasets and test environments; standards, benchmarks and evaluation metrics; workforce development; and public‑private partnerships. The 2023 update adds an explicit Strategy 9 on international collaboration. The plan's objectives emphasize stewardship of R&D investments to drive innovation while mitigating risk and preserving civil liberties and democratic values.
2021 institutional developments: The National Artificial Intelligence Initiative Act (NAIIA) codified many strategic-plan elements and created structures for implementation. OSTP established the National AI Initiative Office (NAIIO) in January 2021 to coordinate Federal AI activity. Pursuant to the Act, OSTP and NSF launched the NAIRR Task Force in June 2021 to study creation of a federated national research resource (NAIRR) to democratize access to compute, data, and testbeds. These 2021 actions (statutory, administrative, and programmatic) materially advanced the implementation of the strategic plan across agencies and created new delivery mechanisms for the plan's priorities.
Implementation, governance and accountability: The strategic plan is guidance rather than prescriptive regulation; agencies (NSF, NIST, DOE, DOD, NIH, USDA, DHS, etc.) are responsible for carrying out R&D consistent with plan priorities. Implementation mechanisms established in 2021–2023 include the National AI Initiative Office (coordination and reporting), the NAIRR pilot and task force (resource access), National AI Research Institutes (NSF-led networks), and NIST technical standards work (including voluntary frameworks such as the NIST AI Risk Management Framework). Interagency coordination is overseen by NSTC and the NITRD coordination office. Monitoring is expected through periodic updates and RFI processes; the 2019 plan led to a 2023 update, and the Administration solicited public input for future updates (2022–2025 RFIs).
Legal and risk posture: The plan focuses on research priorities and coordination; it is not a binding regulatory instrument imposing civil penalties. Pursuant statutes and agency rulemaking (e.g., procurement rules, data protection requirements, sectoral laws) remain the primary regulatory levers for enforcement, liability, and redress. The plan emphasizes research into trustworthy, safe, and secure AI and calls for standards, benchmarks, evaluation methods, and workforce development to reduce systemic risk.
Key takeaways for stakeholders: Researchers, federal program officers, and institutions receiving Federal AI funding should align proposals with the plan's strategies (fundamental research, human‑AI teaming, safety, datasets, workforce, partnerships). Entities developing or deploying high‑impact AI systems should monitor NIST guidance, agency-specific policies, and NAIRR access rules. International collaboration is a growing priority following the 2023 update but 2021 actions laid the institutional groundwork for cross‑border R&D coordination and resource sharing.
Primary sources and further reading: The authoritative strategic plan documents and implementation materials are published on official government sites (NSTC/NITRD, White House/OSTP, NSF). Key primary documents include the original 2016 plan, the 2019 update, the 2023 update, OSTP materials on NAIRR and the NAIIO launch, and NSF/NAIRR pilot pages. See official sources in the Sources section below for direct links.
Full article
Read full text ↗Overview
The U.S. National Artificial Intelligence Research and Development (R&D) Strategic Plan is an interagency roadmap produced by the National Science and Technology Council's AI bodies to guide Federally-funded AI research priorities. The plan was first published in October 2016 and formally updated in June 2019; subsequent implementation activity accelerated in 2021 after Congress enacted the National Artificial Intelligence Initiative Act of 2020 and Federal agencies established implementing offices and task forces. There is no separate, authoritative document titled the "2021 update" to the Strategic Plan; instead, 2021 is best understood as a pivotal implementation year when the National AI Initiative Office was established and the National AI Research Resource (NAIRR) Task Force was launched to operationalize plan priorities. For the authoritative plan texts see the official archives and interagency publications (example copies: NSTC, National AI R&D Strategic Plan (2016) and National AI R&D Strategic Plan: 2019 Update).
Definitions
For the purposes of Federal AI R&D coordination: "AI" refers to systems that perform tasks that would otherwise require human intelligence, including machine learning, deep learning, and symbolic approaches; "R&D" refers to fundamental and applied research and development activities supported or carried out by Federal agencies; "NAIRR" (National Artificial Intelligence Research Resource) denotes a federated research infrastructure of compute, data, and testbeds; and the "National AI Initiative Office" (NAIIO / NAIIO) is the OSTP-based coordination office established to implement the National AI Initiative Act. These terms are used consistently across NSTC/NITRD, OSTP, and NSF materials.
Governance and Institutional Framework
Governance of the strategic plan rests on an interagency architecture: the National Science and Technology Council (NSTC) and its Select Committee on Artificial Intelligence (and subordinate subcommittees) set strategy; the Networking and Information Technology Research and Development (NITRD) program's National Coordination Office supports coordination; the National AI Initiative Office (established January 12, 2021) coordinates implementation across agencies; and individual agencies (e.g., NSF, NIST, DOE, NIH, DHS, DoD) execute programs, investments, and standards work. In 2021 Congress codified many plan functions in the National Artificial Intelligence Initiative Act; OSTP and NSF launched the NAIRR Task Force (June 2021) to recommend a governance model and roadmap for a federated national research resource. Institutional arrangements established in 2021 continue to feed into plan updates and interagency reporting mechanisms.
Key Focus Areas
The strategic plan’s priority areas — maintained across 2016, 2019, and 2023 updates — include: (1) sustained long‑term fundamental AI research (theory, algorithms, hardware‑aware AI); (2) human‑AI collaboration research to improve teaming, interpretability, and human factors; (3) ethical, legal and societal implications (ELSI) research to study fairness, bias, and societal impact; (4) safety and security research for trustworthy and robust systems; (5) development and sharing of public datasets, simulation environments, and testbeds; (6) metrics, standards, and benchmarks for measurement and evaluation; (7) workforce development to broaden participation and train AI professionals; and (8) expanded public‑private partnerships to accelerate technology transfer and scale research. The 2023 update added Strategy 9 to emphasize principled international collaboration. In 2021, operational activities concentrated on establishing the NAIIO and NAIRR Task Force to advance these focus areas in practice (2023 Update, 2019 Update).
Implementation Framework
Implementation is agency‑led with interagency coordination. Key mechanisms include NSF-driven National AI Research Institutes (to fund multi‑institution collaborations), the NAIRR pilot (to demonstrate federated compute/data access), NIST’s standards and technical guidance (including development of voluntary risk‑management tools), and OSTP's NAIIO for cross‑cutting coordination. Agencies use grant programs, intramural research, public‑private partnerships, and task forces (e.g., NAIRR Task Force launched June 2021) to operationalize objectives. Funding decisions are informed by agency budgets and cross‑agency priorities established through NSTC and NITRD coordination. The plan calls for metrics for evaluating progress (benchmarks, adoption rates, workforce indicators) and for periodic reviews leading to updates (2019 and 2023 are examples of that iterative approach).
Monitoring and Evaluation
Monitoring depends on multi‑layered reporting: individual agencies report on program outputs (grants awarded, institutes created, datasets released), the NAIIO consolidates cross‑agency progress and coordinates RFIs and stakeholder engagement, and NSTC/NITRD advises on strategy alignment. The plan encourages development of quantitative benchmarks and standards to enable reproducible evaluation. Public requests for information (RFIs) and open consultations have been used to evaluate the plan and solicit community inputs (for example, RFIs issued in 2022 and 2025 on updates and action plans). Periodic plan updates (2019 and 2023) were informed by evaluation, community input, and interagency reviews.
Penalties, Liability, and Appeals
The Strategic Plan itself is non‑regulatory guidance and does not establish criminal or civil penalties. Liability, enforcement, and appeals regarding the use or deployment of AI systems remain governed by sectoral federal law, agency regulations, and applicable state laws. The plan directs research into safety, standards, and evaluation mechanisms that inform regulatory and procurement decisions. Where agencies implement requirements (e.g., in federally funded procurements or transfers), those agency actions may carry contractual or administrative remedies; such remedies are handled through the relevant agency’s legal and administrative processes.
Relationship to Other Instruments
The Strategic Plan interfaces with multiple statutes and policy instruments: the National Artificial Intelligence Initiative Act of 2020 (codifying the Initiative and establishing the NAIIO and NAIRR Task Force), federal agency strategic and budget priorities, NIST standardization work, the AI Accountability Framework guidance for agencies, and sectoral guidance (e.g., healthcare, finance). The plan complements standards, guidance, and regulations produced by agencies and informs international engagement, standards harmonization, and multi‑lateral collaboration on AI R&D policy.
International Alignment
International collaboration is explicitly addressed in the 2023 update (Strategy 9) and was a growing subtext in 2021 implementation. The U.S. strategic approach promotes international science collaboration, standards alignment, and coordinated research on safety and trustworthiness with allies and like‑minded partners, while preserving controls where necessary for national security. The NAIRR and National AI Research Institutes incorporate collaboration mechanisms for international researchers subject to governance and access rules. Agencies coordinate with global standards bodies and forums to align benchmarks, metrics, and safety practices.
Implementation Timeline
| Event | Date | Notes |
|---|---|---|
| Original NSTC Strategic Plan published | 2016-10-13 | NSTC: National AI R&D Strategic Plan (2016) |
| 2019 Strategic Plan Update published | 2019-06-21 | NSTC: 2019 Update |
| National AI Initiative Act enacted (codification) | 2021-01-01 | Included in FY2021 NDAA (P.L. 116-283) |
| National AI Initiative Office (NAIIO) launched | 2021-01-12 | OSTP press release establishing NAIIO |
| NAIRR Task Force launched | 2021-06-10 | NSF: NAIRR Task Force |
| NAIRR Task Force interim & final reports | 2022–2023 | Interim reports and final report released; NAIRR pilot launched subsequently |
| Strategic Plan 2023 Update published | 2023-05 | NSTC: 2023 Update |
Sources and References
Requirements for a company
What an organisation has to do under United States - AI Research Strategy (2021), at a glance. Not legal advice — the table below gives the provision and deadline for each item.
Must do
4- Align R&D solicitations with the strategic plan's priorities.Federal agencies
- Participate in interagency reporting mechanisms.Federal agencies
- Contribute to the National AI Research Resource and National AI Research Institutes.Federal agencies
- Adopt NIST guidance and standards where applicable.Federal agencies
Must not do
0Nothing in this category.
Should do
6- Align research proposals with the strategic plan's strategies.Researchers and institutions seeking federal funding
- Prepare for National AI Research Resource access rules, including vetting and data governance.Researchers and institutions intending to use NAIRR
- Adopt standards and benchmarks for research reproducibility and safety.Researchers and institutions
- Engage in public-private partnerships to accelerate technology transfer.Industry partners
- Contribute to National AI Research Resource where feasible.Industry partners
- Follow NIST and sectoral guidance for trustworthy AI.Industry partners
Should not do
0Nothing in this category.
Who must do what
The obligations under United States - AI Research Strategy (2021), most serious first. Not legal advice — verify against the official text before relying on it.
| # | Who | Requirement | By when | Where | Severity |
|---|---|---|---|---|---|
| 1 | Federal agencies | Align R&D solicitations with the strategic plan's priorities. “Align agency R&D solicitations with strategic priorities” | — | Compliance Checklist | Important |
| 2 | Federal agencies | Participate in interagency reporting mechanisms. “participate in NITRD/NSTC reporting” | — | Compliance Checklist | Important |
| 3 | Federal agencies | Contribute to the National AI Research Resource and National AI Research Institutes. “contribute to NAIRR and National AI Research Institutes” | — | Compliance Checklist | Important |
| 4 | Federal agencies | Adopt NIST guidance and standards where applicable. “adopt NIST guidance where applicable” | — | Compliance Checklist | Important |
| 5 | Researchers and institutions seeking federal funding | Align research proposals with the strategic plan's strategies. “Align proposals to plan strategies” | Before submitting proposals | Compliance Checklist | Recommended |
| 6 | Researchers and institutions intending to use NAIRR | Prepare for National AI Research Resource access rules, including vetting and data governance. “prepare for NAIRR access rules (vetting, data governance)” | Before accessing NAIRR | Compliance Checklist | Recommended |
| 7 | Researchers and institutions | Adopt standards and benchmarks for research reproducibility and safety. “adopt standards and benchmarks for reproducibility and safety” | — | Compliance Checklist | Recommended |
| 8 | Industry partners | Engage in public-private partnerships to accelerate technology transfer. “Engage in public‑private partnerships” | — | Compliance Checklist | Recommended |
| 9 | Industry partners | Contribute to National AI Research Resource where feasible. “contribute to NAIRR resources where feasible” | — | Compliance Checklist | Recommended |
| 10 | Industry partners | Follow NIST and sectoral guidance for trustworthy AI. “follow NIST and sectoral guidance for trustworthy AI” | — | Compliance Checklist | Recommended |
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© Regulations.AI · updated on 13-Jun-2026