ΑΙhub.org
 

Latest AI announcements from the US Government include updated strategic plan


by
26 May 2023



share this:

US flag
On May 23, the Biden-Harris administration made announcements regarding new efforts to “advance the research, development, and deployment of responsible artificial intelligence (AI)”. This followed a statement given at the start of the month, which also focused on responsible innovation in AI.

There were three key announcements in this latest statement, and these concerned:

  • An updated roadmap to focus federal investments in AI research and development (R&D). The National AI R&D Strategic Plan has been updated (for the first time since 2019), and outlines priorities and goals for federal investments in AI R&D. The executive summary of the document notes that: “The federal government must place people and communities at the center by investing in responsible R&D that serves the public good, protects people’s rights and safety, and advances democratic values. This update to the National AI R&D Strategic Plan is a roadmap for driving progress toward that goal.”
    The plan reaffirms the eight strategies from the 2019 plan, and adds a ninth.

    • 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.
  • A new request for public input on critical AI issues. The Office of Science and Technology Policy is seeking input on national priorities for mitigating AI risks, protecting individuals’ rights and safety, and harnessing AI to improve lives.
  • A new report on the risks and opportunities related to AI in education. The U.S. Department of Education’s Office of Educational Technology has released a new report summarizing the risks and opportunities related to AI in teaching, learning, research, and assessment.

Find out more

  • 23 May fact sheet, “Biden-⁠Harris Administration Takes New Steps to Advance Responsible Artificial Intelligence Research, Development, and Deployment”.
  • 4 May fact sheet, “Biden-⁠Harris Administration Announces New Actions to Promote Responsible AI Innovation that Protects Americans’ Rights and Safety”.
  • National AI R&D Strategic Plan, 2023.


tags:


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.




            AIhub is supported by:



Related posts :



Learning robust controllers that work across many partially observable environments

  20 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

ACM SIGAI Autonomous Agents Award 2026 open for nominations

  19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.

Interview with Mario Mirabile: trust in multi-agent systems

  18 Nov 2025
We meet ECAI Doctoral Consortium participant, Mario, to find out more about his research.

Review of “Exploring metaphors of AI: visualisations, narratives and perception”

and   17 Nov 2025
A curated research session at the Hype Studies Conference, “(Don’t) Believe the Hype?!” 10-12 September 2025, Barcelona.

Designing value-aligned autonomous vehicles: from moral dilemmas to conflict-sensitive design

  13 Nov 2025
Autonomous systems increasingly face value-laden choices. This blog post introduces the idea of designing “conflict-sensitive” autonomous traffic agents that explicitly recognise, reason about, and act upon competing ethical, legal, and social values.

Learning from failure to tackle extremely hard problems

  12 Nov 2025
This blog post is based on the work "BaNEL: Exploration posteriors for generative modeling using only negative rewards".

How AI can improve storm surge forecasts to help save lives

  10 Nov 2025
Looking at how AI models can help provide more detailed forecasts more quickly.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence