AI

Artificial Intelligence Interagency Working Group
Artificial Intelligence (AI) R&D advances the ability of computer systems to perform tasks that have traditionally required human intelligence; this includes R&D in machine learning (ML), computer vision, natural language processing/understanding, intelligent decision support systems, and autonomous systems, as well as the novel application of these techniques to various domains.

NITRD Groups -> AI IWG

Artificial Intelligence
Interagency Working Group

Artificial Intelligence (AI) R&D advances the ability of computer systems to perform tasks that have traditionally required human intelligence; this includes R&D in machine learning (ML), computer vision, natural language processing/understanding, intelligent decision support systems, and autonomous systems, as well as the novel application of these techniques to various domains.

Overview

The Artificial Intelligence Interagency Working Group (AI IWG) was formed in 2018 to coordinate Federal AI R&D across 32 participating agencies and to support activities tasked by both the NSTC Select Committee on AI and the Subcommittee on Machine Learning and Artificial Intelligence (MLAI). Guided by the eight strategic priorities of the National AI R&D Strategic Plan: 2019 Update the IWG gathers information from AI experts to ensure that government investment in AI R&D results in innovative applications to address the Nation’s challenges, advantage its opportunities, and promote U.S. leadership and global competitiveness. Details of many recent and ongoing Federal AI R&D programs and applications are available in the 2016-2019 AI R&D Progress Report.

Strategic Priorities

Make and coordinate long-term Federal investments in AI research that strives for robust, reliable systems that exhibit the flexibility and versatility of human intelligence and optimize performance.
Promote safe and effective methods for human–AI collaboration through advanced techniques for human augmentation, visualization, and AI-human interfaces.
Address the ethical, legal, and societal implications of AI by assuring that systems align with ethical-legal-societal goals and formal and informal human norms.
Improve the safety and security of AI systems by ensuring they operate in a controlled, well-defined, and well-understood manner so that failures can be traced and avoided.
Develop the shared public datasets and environments needed to increase the accuracy, benefits, safety, and trustworthiness of AI through improved training and testing.
Measure and evaluate AI technologies by establishing shared standards and benchmarks to address safety, reliability, accuracy, usability, interoperability, robustness, and security.
Expand the AI workforce through education and training for K- 20, career professionals, and society-at-large to ensure America leads in the automation of the future.
Facilitate public-private partnerships to leverage expertise in industry, academia, and across government to build and strengthen the AI R&D ecosystem.

Co-Chairs

Jeff Alstott, Ph.D.
Program Manager
Intelligence Advanced Research Projects Activity
Office of the Director of National Intelligence

Henry Kautz, Ph.D.
Division Director
Division of Information and Intelligent Systems (CISE/IIS)
National Science Foundation

Recent Activities

Artificial Intelligence & Wireless Spectrum: Opportunities and Challenges, WSRD IWG Workshop, Griffiss Institute, Rome, NY (August 28-29, 2019).
Artificial Intelligence and Cybersecurity Workshop, College Park, MD (June 4-6, 2019).
Federal Register Notice: 83 FR 48655, "Request for Information on Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan", September 26, 2018. Public Responses October 2018.

Recent Publications

Artificial Intelligence and Cybersecurity: Opportunities and Challenges: Technical Workshop Summary Report, Networking and Information Technology Research Subcommittee; Machine Learning and Artificial Intelligence Subcommittee; National Science and Technology Council, March 2020.
2016–2019 Progress Report: Advancing Artificial Intelligence R&D, Fast Track Action Committee on Strategic Computing; Networking and Information Technology Research and Development Subcommittee; Committee on Science and Technology Enterprise; National Science and Technology Council, November 2019.
U.S. Leadership in AI: A Plan for Federal Engagement in Developing Technical Standards and Related Tools, National Institute of Standards and Technology, August 2019.
The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update, Select Committee on Artificial Intelligence, National Science & Technology Council, June 2019.

Resources and Reference Documents

American Artificial Intelligence Initiative: Year One Annual Report, The White House, Office of Science and Technology Policy, February 2020.
Workshop Report on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence, Department of Energy, Office of Scientific and Technical Information. February 2019.
Fact Sheet: 2018 DoD Artificial Intelligence Strategy: Harnessing AI to Advance Our Security and Prosperity, U.S. Department of Defense, February 2019.
Summary of the 2018 Department of Defense Artificial Intelligence Strategy: Harnessing AI to Advance Our Security and Prosperity, U.S. Department of Defense, February 2019.
Executive Order on Maintaining American Leadership in Artificial Intelligence, Donald J. Trump, The White House, February 2019.
Accelerating America's Leadership in Artificial Intelligence, The White House, Office of Science and Technology Policy, February 2019.
Update from the National Science and Technology Council Select Committee on Artificial Intelligence, The White House, Office of Science and Technology Policy, November 2018.
Summary of the 2018 White House Summit on Artificial Intelligence for American Industry, The White House, Office of Science and Technology Policy, May 2018.

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