national artificial intelligence research and development strategic plan 2016

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The National Artificial Intelligence Research And Development Strategic Plan

Executive Summary: Artificial intelligence (AI) is a transformative technology that holds promise for tremendous societal and economic benefit. AI has the potential to revolutionize how we live, work, learn, discover, and communicate. AI research can further our national priorities, including increased economic prosperity, improved educational opportunities and quality of life, and enhanced national and homeland security. Because of these potential benefits, the U.S. government has invested in AI research for many years. Yet, as with any significant technology in which the Federal government has interest, there are not only tremendous opportunities but also a number of considerations that must be taken into account in guiding the overall direction of Federally-funded R&D in AI. On May 3, 2016,the Administration announced the formation of a new NSTC Subcommittee on Machine Learning and Artificial intelligence, to help coordinate Federal activity in AI.1 This Subcommittee, on June 15, 2016, directed the Subcommittee on Networking and Information Technology Research and Development (NITRD) to create a National Artificial Intelligence Research and Development Strategic Plan. A NITRD Task Force on Artificial Intelligence was then formed to define the Federal strategic priorities for AI R&D, with particular attention on areas that industry is unlikely to address. This National Artificial Intelligence R&D Strategic Plan establishes a set of objectives for Federallyfunded AI research, both research occurring within the government as well as Federally-funded research occurring outside of government, such as in academia. The ultimate goal of this research is to produce new AI knowledge and technologies that provide a range of positive benefits to society, while minimizing the negative impacts. To achieve this goal, this AI R&D Strategic Plan identifies the following priorities for Federally-funded AI research: Strategy 1: Make long-term investments in AI research. Prioritize investments in the next generation of AI that will drive discovery and insight and enable the United States to remain a world leader in AI. Strategy 2: Develop effective methods for human-AI collaboration. 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. Strategy 3: Understand and address the ethical, legal, and societal implications of AI. We expect AI technologies to behave according to the formal and informal norms to which we hold our fellow humans. 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. Strategy 4: Ensure the safety and security of AI systems. Before AI systems are in widespread use, assurance is needed that the systems will operate safely and securely, in a controlled, well-defined, and well-understood manner. Further progress in research is needed to address this challenge of creating AI systems that are reliable, dependable, and trustworthy. Strategy 5: Develop shared public datasets and environments for AI training and testing. The depth, quality, and accuracy of training datasets and resources significantly affect AI performance. Researchers need to develop high quality datasets and environments and enable responsible access to high-quality datasets as well as to testing and training resources. Strategy 6: Measure and evaluate AI technologies through standards and benchmarks. . Essential to advancements in AI are standards, benchmarks, testbeds, and community engagement that guide and evaluate progress in AI. Additional research is needed to develop a broad spectrum of evaluative techniques. Strategy 7: Better understand the national AI R&D workforce needs. Advances in AI will require a strong community of AI researchers. An improved understanding of current and future R&D workforce demands in AI is needed to help ensure that sufficient AI experts are available to address the strategic R&D areas outlined in this plan. The AI R&D Strategic Plan closes with two recommendations: Recommendation 1: Develop an AI R&D implementation framework to identify S&T opportunities and support effective coordination of AI R&D investments, consistent with Strategies 1-6 of this plan. Recommendation 2: Study the national landscape for creating and sustaining a healthy AI R&D workforce, consistent with Strategy 7 of this plan.

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National Artificial Intelligence Research and Development Strategic Plan: 2023 Update

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Description

"This document includes relevant text from the 2016 and 2019 national AI R&D strategic plans, along with updates prepared in 2023 based on Administration and interagency evaluation of the National AI R&D Strategic Plan: 2019 Update as well as community responses to a Request for Information on updating the Plan. The 2019 strategies were broadly determined to be valid going forward. The 2023 update adds a new Strategy 9, which establishes a principled and coordinated approach to international collaboration in AI research" (p. ii).

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viii, 47 p.

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National Science and Technology Council (U.S.). Select Committee on Artificial Intelligence. May 2023.

This report is part of the collection entitled: Artificial Intelligence (AI) Policy Collection and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library , a digital repository hosted by the UNT Libraries . It has been viewed 541 times, with 18 in the last month. More information about this report can be viewed below.

People and organizations associated with either the creation of this report or its content.

• National Science and Technology Council (U.S.). Select Committee on Artificial Intelligence. The Office of Science and Technology Policy (OSTP): the Select Committee on Artificial Intelligence

Contributing Authors

• Alterovitz, Gil VA
• D'Souza, Faisal Technical Coordinator; NITRD NCO
• Dennis, Allison NIH
• Fox, Kyle NIJ
• Greenberg, Craig NIST
• Harrison, William NIST
• Hickernell, Robert NIST
• Bradley, Jonnie DOE/AITO
• Kuehn, David DOT
• Lee, Steven L. Co-Chair; DOE/SC
• Littman, Michael L. Co-Chair; NSF
• Lu, Zhiyong NIH
• Mammino, Jillian State
• Mannes, Aaron DHS
• Oza, Nikunj NASA
• Paladino, Richard MDA
• Piliptchak, Pavel NIST
• Schlenoff, Craig I. Co-Chair; NIST
• Schwarber, Adria State
• Sriram, Ram D. NIST
• Stapleton, Ann USDA
• Tabassi, Elham NIST
• Theofanos, Mary NIST
• Thomson, Steven USDA
• Vietas, Jay NIOSH
• Warren, James NIST
• Zimmerman, Megan NIST
• National Science and Technology Council (U.S.). Select Committee on Artificial Intelligence. Place of Publication: Washington D.C.

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• Main Title: National Artificial Intelligence Research and Development Strategic Plan: 2023 Update
• Serial Title: United States National Artificial Intelligence Research and Development Strategic Plan
• Added Title: National Artificial Intelligence Research and Development Strategic Plan: A Report by the Select Committee on Artificial Intelligence of the National Science and Technology Council

Contents: 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 -- List of Abbreviations and Acronyms -- Endnotes

• machine learning
• risk management
• strategic planning

Library of Congress Subject Headings

• Artificial intelligence

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• Archival Resource Key : ark:/67531/metadc2114122

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Artificial Intelligence (AI) Policy Collection

The Artificial Intelligence (AI) Policy Collection contains open access resources that provide policy overviews, implementation plans, guiding frameworks, and resources for implementing artificial intelligence and machine learning in a wide range of environments. This collection includes documents published by Federal agencies, non-governmental organizations, international, state, and local governments.

Related Items

The national artificial intelligence research and development strategic plan: 2019 update (report).

This report is an update to the original 2016 report. In this update, eight strategic priorities have been identified and added on to the seven strategies from the 2016 report.

Relationship to this item: (References)

The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update, ark:/67531/metadc2289545

The National Artificial Intelligence Research and Development Strategic Plan (Report)

This report establishes a set of objectives for Federally-funded AI research, both research occurring within the government as well as Federally-funded research occurring outside of government, such as in academia.

The National Artificial Intelligence Research and Development Strategic Plan, ark:/67531/metadc2289549

Preparing for the Future of Artificial Intelligence (Report)

This report surveys the current state of artificial intelligence (AI), its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. This report also makes recommendations for specific further actions by Federal agencies and other actors.

Preparing for the Future of Artificial Intelligence - ark:/67531/metadc2289489

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National Science and Technology Council (U.S.). Select Committee on Artificial Intelligence. National Artificial Intelligence Research and Development Strategic Plan: 2023 Update , report , May 2023; Washington D.C. . ( https://digital.library.unt.edu/ark:/67531/metadc2114122/ : accessed November 18, 2024 ), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu ; crediting UNT Libraries Government Documents Department .

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