Title Publication Type About Published Year
FOC Joint Statement on Artificial Intelligence and Human Rights Ethical Principles; International Declarations The United States is a founding member of the 32 government-member Freedom Online Coalition (FOC) and worked with a multistakeholder taskforce to craft a statement calling upon governments to oppose and refrain from the use of AI systems for repressive and authoritarian purposes and ensure the design, development and use of AI systems in the public sector is conducted in accordance with international human rights obligations. 11/05/2020 2020
(HHS) U.S. Department of Health and Human Services: Artificial Intelligence (AI) Strategy Strategy Documents This document provides the HHS AI Strategy, by defining an approach and focus areas to encourage and enable Department-wide familiarity, comfort, and fluency with AI technology and its potential (AI adoption), the application of best practices and lessons learned from piloting and implementing AI capabilities to additional domains and use cases across HHS (AI scaling), and increased speed at which HHS adopts and scales AI (AI acceleration). 1/14/2021 2021
Recommendations for Leveraging Cloud Computing Resources for Federally Funded Artificial Intelligence Research and Development AI Budget; Scientific and Technical Reports This report details four key recommendations for leveraging cloud computing resources for federally funded artificial intelligence (AI) research and development (R&D). The report is a product of interagency collaboration, led by the National Science and Technology Council (NSTC) Select Committee on AI and Subcommittee on Machine Learning and AI (MLAI), that is one of several measures responding to the February 11, 2019, Executive Order on Maintaining American Leadership in Artificial Intelligence. 11/17/2020 2020
2016–2019 Progress Report: Advancing Artificial Intelligence R&D AI Budget This document reports examples of Federal R&D investments, program information, and activities in artificial intelligence that address the R&D strategies in The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update. 11/20/2019 2019
NITRD Supplement to the President’s FY2021 Budget AI Budget This document is a supplement to the President’s FY2021 Budget Request to Congress, providing a summary of the Networking and Information Technology Research and Development investments by agency, including specific agency investments for artificial intelligence. The Supplement also describes key R&D programs and coordination activities planned for FY2021 by the Federal agencies participating in the NITRD Program. 08/14/2020 2020
American Artificial Intelligence Initiative: Year One Annual Report Strategy Documents This document reviews the strategic objectives of the American Artificial Intelligence Initiative, as well as the United States’ substantial progress on implementing the strategy over the first year. 02/01/2020 2020
U.S. Leadership in AI: A Plan for Federal Engagement in Developing Technical Standards and Related Tools Strategy Documents As directed by the American AI Initiative, National Institute of Standards and Technology (NIST) released this plan in August 2019 for Federal engagement in the development of AI technical standards. NIST is the leader in advancing foundational research to measure and assess AI technologies, including the development of AI data standards and best practices, as well as AI evaluation methodologies and standard testing protocols. 08/10/2019 2019
National AI R&D Strategic Plan: 2019 Update Strategy Documents This strategic plan identifies the critical areas of AI R&D that require Federal investments. Released by the White House Office of Science and Technology Policy’s National Science and Technology Council, the Plan defines several key areas of priority focus for the Federal agencies that invest in AI. 06/21/2019 2019
Charting a Course for Success: America’s Strategy for STEM Education Strategy Documents This document presents the Federal strategy for furthering STEM education. This strategy emphasizes the importance of developing and enriching strategic partnerships, engaging students where disciplines converge, building computational literacy, and operating with transparency and accountability. 12/01/2018 2018
(Archived) The National Artificial Intelligence Research and Development Strategic Plan Strategy Documents This was the first National AI R&D Strategic Plan, outlining the key areas of AI R&D that require Federal investments. An updated version of this plan was released in 2019. 10/2016 2016
Final Report: National Security Commission on Artificial Intelligence Strategy Documents This Final Report presents the NSCAI’s recommendations for advancing the development of AI, machine learning, and associated technologies to comprehensively address the national security and defense needs of the United States. The report consists of topline conclusions and recommendations, along with accompanying Blueprints for Action that outline more detailed steps that the U.S. Government should take to implement the recommendations. 03/01/2021 2021
(DOT) Ensuring American Leadership in Automated Vehicle Technologies 4.0 Strategy Documents This document describes activities across the Federal government that are supporting automated vehicle (AV) technology growth and leadership, as well as opportunities for collaboration. The document further presents ten U.S. Government principles to protect users and communities, promote effiicent markets, and facilitate coordinated efforts to ensure a standardized Federal approach to AVs. This document builds on two prior reports — Automated Driving Systems 2.0: A Vision for Safety (ADS 2.0) and Preparing for the Future of Transportation: Automated Vehicles 3.0 (AV 3.0). 01/01/2020 2020
(NOAA) Artificial Intelligence Strategy Strategy Documents This document presents NOAA’s strategy to expand the application of AI in every NOAA mission by improving the efficiency, effectiveness, and coordination of AI development and usage across the agency. By strengthening coordination, operational capabilities, workforce proficiency, and multisector partnerships, NOAA’s national and global leadership in AI will support science, public safety, and security. 02/01/2020 2020
(Air Force) Air Force Artificial Intelligence Annex to DoD AI Strategy Strategy Documents This document provides a framework for aligning the Air Force AI efforts with the National Defense Strategy and the DoD AI Strategy as executed by the Joint AI Center. It details the fundamental principles, enabling functions, and objectives necessary for the Air Force to effectively manage, maneuver, and lead in the digital age. 09/01/2020 2020
(DoD) Department of Defense Artificial Intelligence Strategy Strategy Documents The DoD AI Strategy directs the DoD to accelerate the adoption of AI. The Strategy directs the use of AI in a human-centered manner to support and protect U.S. servicemembers and civilians around the world, protect our country and safeguard our citizens, create an efficient and streamlined organization, and become a pioneer in scaling AI across a global enterprise. 02/01/2019 2019
(Office of Director of National Intelligence) The AIM Initiative: A Strategy for Augmenting Intelligence Using Machines Strategy Documents The ODNI Augmenting Intelligence using Machines (AIM) Strategy provides a framework for the incorporation of AIM technologies to accelerate mission capability across the Intelligence Community (IC). It defines several objectives, including improving foundational undersanding, adopting commercial and open source solutions, investing in AI gaps, and investing in basic research on sense-making. 01/01/2019 2019
(DOT) Preparing for the Future of Transportation: Automated Vehicles 3.0 Strategy Documents This document outlines how automation will be safely integrated across passenger vehicles, commercial vehicles, on-road transit, and the roadways on which they operate. The approach provides considerations and best practices for the safe and effective testing and operation of automation technologies, supports the development of voluntary technical standards, and describes an illustrative framework fo safety risk management stages, among other topics. 10/01/2018 2018
(DOT) Automated Driving Systems 2.0: A Vision for Safety Strategy Documents This updated policy framework offers a path forward for the safe deployment of automated vehicles by encouraging new entrants and ideas that deliver safer vehicles, making Department regulatory processes more nimble to help match the pace of private sector innovation, and supporting industry innovation and encouraging open communication with the public and with stakeholders. 08/12/2017 2017
Federal Data Strategy: 2020 Action Plan Strategy Documents In March 2018, as part of the President’s Management Agenda, the Administration established a Cross-Agency Priority Goal focused on Leveraging Data as a Strategic Asset to establish best practices for how agencies manage and use data. This document outlines the 2020 Action Plan that defines agency actions in support of legislative and administrative requirements, toward the goal of developing a mature data asset management environment. 05/14/2020 2020
(DHS) U.S. Department of Homeland Security Artificial Intelligence Strategy Strategy Documents This document provides the strategic vision of DHS in becoming a global leader in policy development, governance, and the use of AI systems as they lead national efforts to mitigate against institutional and enterprise risks posed by AI. The document outlines the DHS goals for achieving this vision, including assessing the potential impact of AI on the homeland security enterprise, investing in DHS AI capabilities, mitigating AI risks to the Department and to the homeland, developing a DHS AI workforce, and improving public trust and engagement. 12/03/2020 2020
(FAA) FAA Strategic Plan, FY2019-2022 Strategy Documents This Strategic Plan establishes the Federal Aviation Administration’s strategic goals and objectives for fiscal years 2019 through 2022. It aligns with the U.S. Department of Transportation’s Strategic Plan and describes the four-year goals the agency will pursue and the yearly actions that will contribute to realizing these objectives. 02/01/2018 2018
(FDA) Artificial Intelligence/Machine Learning-Based Software as a Medical Device Action Plan Strategy Documents This document describes a five-part Action Plan the FDA will be taking to further develop the AI/Machine Learning-Based Software as a Medical Device framework, in response to stakeholder feedback. The approach builds on the Agency’s longstanding commitment to support innovative work in the regulation of medical device software and other digital health technologies. 01/01/2021 2021
(DoD) DoD Data Strategy Strategy Documents The DoD Data Strategy supports the National Defense Strategy and digital modernization by providing the overarching vision, focus areas, guiding principles, essential capabilities, and goals necessary to transform the Department into a data-centric enterprise. This strategy focuses on efforts in joint warfighting, senior leader decision support, and business analytics. 09/01/2020 2020
(NOAA) NOAA Data Strategy: Maximizing the Value of NOAA Data Strategy Documents The NOAA Data Strategy aims to dramatically accelerate the use of data across the agency and with other key partners, maximize openness and transparency, deliver on mission, and steward resources while protecting quality, integrity, security, privacy, and confidentiality. The strategy includes a set of goals that are broadly applicable across NOAA mission areas, and supporting objectives for each to guide NOAA agency-level implementation of the strategy. 07/01/2020 2020
NITRD Supplement to the President’s FY 2020 Budget AI Budget This document is a supplement to the President’s FY2020 Budget Request to Congress, providing a summary of the Networking and Information Technology Research and Development investments by agency, including specific agency investments for artificial intelligence. The Supplement also describes key R&D programs and coordination activities planned for FY2020 by the Federal agencies participating in the NITRD Program. 09/10/2019 2019
AI R&D Dashboard, Networking and Information Technology R&D Program AI Budget This AI R&D investment dashboard illustrates the Federal budget for nondefense AI R&D investments across several fiscal years. It provides both an overall budget rollup, as well as breakdowns of investments by agency and by program component areas. 08/14/2020 2020
Artificial Intelligence and Quantum Information Science Research and Development Summary: Fiscal Years 2020-2021 AI Budget This report provides a summary of Federal R&D spending in nondefense artificial intelligence and quantum information science for Fiscal Years 2020 – 2021. 02/11/2019 2019
(DOT/FHA) Raising Awareness of Artificial Intelligence for Transportation Systems Management and Operations Scientific and Technical Reports This report introduces the fundamentals of AI technologies and potential areas of AI application in Transportation Management Center (TMC) operations; documents successful AI applications and lessons learned in TMC operations; showcases TMCs using AI to improve their operations; and identifies needs for future studies on this topic. The report provides guidance to assist transportation agencies with better preparation for the potential impacts of AI on operational activities, resources, system needs, and decision making. 12/01/2019 2019
(USAID) AI in Global Health: Defining a Collective Path Forward Scientific and Technical Reports This document identifies barriers to AI deployment at scale in low and middle-income countries and what actions can best accelerate the appropriate use of AI to improve health in low and middle-income countries. 04/01/2019 2019
Artificial Intelligence and Cybersecurity: A Detailed Technical Workshop Report Scientific and Technical Reports This document summarizes the discussions of the June 2019 workshop on AI and Cybersecurity, held by the NITRD Program’s AI R&D and Cyber Security and Information Assurance Interagency Working Groups. This workshop assessed the research challenges and opportunities at the intersection of cybersecurity and AI. 06/02/2020 2020
Workshop Report on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence Scientific and Technical Reports This document summarizes the results of a January 2018 DOE workshop, held to identify priority research directions for long-term R&D in scientific machine learning and AI. Topics dicussed include domain awareness, interpretability, robustness, massive scientific data analysis, machine learning-enhanced modeling and simulation, and intelligent automation and decision support for complex systems. 02/10/2019 2019
AI for Science Scientific and Technical Reports This report captures and highlights important themes that emerged from a series of four AI for Science town halls hosted by Argonne, Oak Ridge, and Berkeley national laboratories in 2019. Sixteen scientific application areas are covered, describing opportunities for AI in areas such as chemistry, earth and environmental sciences, biology and life sciences, and many other areas. For each area, the report outlines the current state of the art, major grand challenges, advances anticipated in the next decade, areas needing accelerated development, and expected outcomes. 07/01/2019 2019
Department of the Treasury: A Financial System That Creates Economic Opportunities – Nonbank Financials, Fintech, and Innovation Scientific and Technical Reports This report explores the characteristics of, and regulatory landscape for, nonbank financial institutions, financial technology, and financial innovation. In this context, the report explores the implications of digitization and its impact on access to clients and their data, focusing on topics including the collection, storage, and use of financial data; cloud services and big data analytics; AI and machine learning; and digital legal identity and data security. 07/01/2018 2018
GAO Technology Assessment on AI Scientific and Technical Reports This report presents the results of a Comptroller General Forum on AI, held in June 2017 with the assistance of the National Academies. The report describes recent developments in AI, along with key implications regarding potential benefits, challenges to realizing these benefits, and resulting policy implications and research priorities. 03/01/2018 2018
A Taxonomy and Terminology of Adversarial Machine Learning Scientific and Technical Reports This report presents a taxonomy of concepts and defines terminology in the field of adversarial machine learning. The proposed terminology and taxonomy are intended to inform future standards and best practices for assessing and managing the security of machine learning components, by establishing a common language and understanding of the rapidly developing adversarial machine learning landscape. 10/01/2019 2019
Four Principles of Explainable Artificial Intelligence Scientific and Technical Reports This report introduces four principles for explainable AI that comprise the fundamental properties for explainable AI systems. The report then presents five categories of explanation, summarizes theories of explainable AI, and overviews algorithms that cover the major classes of explainable algorithms. As a baseline comparison, the report assesses how well explanations provided by people follow these four principles. This assessment provides insights to the challenges of designing explainable AI systems. 08/01/2020 2020
OECD Recommendation on AI Ethical Principles; International Declarations The OECD Recommendation on Artificial Intelligence, adopted in May 2019 by OECD member countries, promote AI that is innovative and trustworthy and that respects human rights and democratic values. The recommendation defines principles for the responsible stewardship of trustworthy AI, along with national policies and international cooperation for implementing these principles. 05/01/2019 2019
Executive Order Promoting the Use of Trustworthy AI in the Federal Government Ethical Principles This Executive Order aims to accelerate Federal adoption of AI, modernize government, and cultivate public trust in AI by defining principles for the use of AI in government, establishing common policy for implementing the principles, developing catalogues of agency use cases of AI, and enhancing AI implementation expertise. 12/08/2020 2020
DoD/JAIC Ethical Principles for Artificial Intelligence Ethical Principles These DoD AI ethical principles were adopted to enhance the department’s commitment to upholding the highest ethical standards while accelerating the adoption of AI. These principles build on the U.S. military’s existing ethics framework based on the U.S. Constitution, Title 10 of the U.S. Code, Law of War, existing international treaties, and longstanding norms and values. 02/24/2020 2020
Principles of Artificial Intelligence Ethics for the Intelligence Community Ethical Principles These IC principles of AI ethics for the Intelligence Community (IC) provide a guide to personnel on whether and how to develop and use AI in furtherance of the IC’s mission. They articulate the general norms that IC elements should follow in applying laws, executive orders, and policies. 02/24/2020 2020
Artificial Intelligence Ethics Framework for the Intelligence Community Ethical Principles This AI ethics framework for the Intelligence Community (IC) provides a guide for IC personnel on how to procure, design, build, use, protect, consume, and manage AI and related data. This guide is intended to serve as a living document to provide stakeholders with a reasoned approach to judgment and to assist with the documentation of considerations associated with the AI lifecycle. 07/01/2020 2020
Summary of the 2019 White House Summit on Artificial Intelligence in Government Event Summaries This report summarizes the September 2019 White House Summit on AI in Government, which brought together over 175 leaders and experts from government, industry, and academia to spark ideas for how the Federal government can adopt AI to achieve its mission and improve services to the American people. 09/09/2019 2019
Summary of the 2018 White House Summit on Artificial Intelligence for American Industry Event Summaries This report summarizes the May 2018 White House Summit on AI for American Industry, which brought together over 100 leaders from government, industry, and academia to explore topics including AI R&D, workforce development, regulatory barriers to AI, and sector-specific applications of AI. 05/10/2018 2018
Artificial Intelligence and Cybersecurity: Opportunities and Challenges: Technical Workshop Summary Report Event Summaries This report summarizes the discussions of a June 2019 workshop, hosted by the NSTC NITRD Program in collaboration with the NSTC’s Machine Learning and AI Subcommittee, to assess the research challenges and opportunities at the intersection of cybersecurity and artificial intelligence. The workshop brought together senior members of the government, academic, and industrial communities to discuss the current state of the art and future research needs, and to identify key research gaps. This report is a summary of those discussions, framed around research questions and possible topics for future research directions. 03/02/2020 2020
National Institutes of Health Workshop: Harnessing Artificial Intelligence and Machine Learning to Advance Biomedical Research Event Summaries This report summarizes discussions from the 2018 workshop on AI and machine learning for advancing biomedical resaerch. Workshop attendees explored how these technologies currently are used in biomedical research, ways to expand their use, and how to leverage existing resources to improve collaborations and networks. 07/23/2018 2018
(NSF) Request for Information on Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan Requests for Information This Request for Information solicited input from all interested parties on potential updates to the National Artificial Intelligence Research and Development Strategic Plan. 09/26/2018 2018
Comments Received in Response to the Request for Information on Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan Requests for Information This resource summarizes the comments received in response to the 2018 Request for Information on the National Artificial Intelligence Research and Development Strategic Plan. 12/19/2018 2018
(NIST) Artificial Intelligence Standards, Federal Register Notice 84 FR 18490 Requests for Information This Request for Information solicited input to help NIST understand the current state, plans, challenges, and opportunities regarding the development and availability of AI technical standards and related tools, as well as priority areas for federal involvement in AI standards-related activities. 05/01/2019 2019
(OMB) Request for Comments on a Draft Memorandum to the Heads of Executive Departments and Agencies, “Guidance for Regulation of Artificial Intelligence Applications”, Federal Register Notice 85 FR 1825 Requests for Information This Request for Information requested comments on a draft OMB Memorandum that provides guidance to all Federal agencies to inform the development of regulatory and non-regulatory approaches to the use of AI in the private sector, along with ways to reduce barriers to the development and adoption of AI technologies. 01/13/2020 2020
(USPTO) Request for Comments on Intellectual Property Protection for Artificial Intelligence Innovation, Federal Register Notice 84 FR 66176 Requests for Information The United States Patent and Trademark Office (USPTO) published a request for public comment on the impact of artificial intelligence (“AI”) technologies on intellectual property law and policy. 12/03/2019 2019
(NOAA) Public Comment for the Four Draft NOAA Science and Technology Strategies: NOAA Unmanned Systems, Artificial Intelligence, ‘Omics, and Cloud Strategies, Federal Register Notice 84 FR 61891 Requests for Information This notice requested public comment of the NOAA Unmanned Systems, Artificial Intelligence, `Omics, and Cloud draft strategies. 11/14/2019 2019
(USPTO) Request for Comments on Patenting Artificial Intelligence Inventions, Federal Register Notice 84 FR 44889 Requests for Information This notice requested information on patent-related issues regarding AI inventions for purposes of evaluating whether further examination guidance is needed to promote the reliability and predictability of patenting artificial intelligence inventions. 08/27/2019 2019
(OMB) Identifying Priority Access or Quality Improvements for Federal Data and Models for Artificial Intelligence Research and Development (R&D), and Testing; Request for Information, Federal Register Notice 84 FR 32962 Requests for Information This notice from OMB requested information from the public to identify needs for additional access to, or improvements in the quality of, Federal data and models that would improve the Nation’s AI research and development and testing efforts. 07/10/2019 2019
Declaration of U.S. and UK Cooperation in AI R&D International Declarations This declaration of the United States and the United Kingdom defines a shared vision for driving technological breakthroughs in AI, along with an approach for advancing this shared vision that advances our AI R&D ecosystems. 09/25/2020 2020
G7 Science and Technology Ministers’ Declaration on COVID-19 International Declarations This declaration of the G7 Science and Technology Ministers in May 2020 presents a shared vision for science and technology in responding to the pandemic, promoting human health, and promoting social and economic recovery. It includes a commitment to launch the Global Partnership on AI. 05/28/2020 2020
G7 Biarritz Strategy for an Open, Free and Secure Digital Transformation International Declarations This declaration of the G7 leaders in Biarritz in August 2019 describes strategies for open, free, and secure digital transformation. The declaration includes a statement of how AI can provide innovation and growth and advance progress toward the sustainable development goals. 08/01/2019 2019
G20 AI Principles International Declarations This G20 Ministerial Statement on Trade and Digital Economy from 2019 includes a statement of the importance of human-centered AI. 06/01/2019 2019
Preparing for the Future of Artificial Intelligence Scientific and Technical Reports This report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report makes recommendations for specific further actions by Federal agencies and other actors. 10/1/2016 2016
Artificial Intelligence, Automation, and the Economy Scientific and Technical Reports This report explores the effects of AI-driven automation on the U.S. job market and economy, and outlines recommended policy responses. 12/1/2016 2016
Request for Information and Comment on Financial Institutions’ Use of Artificial Intelligence, Including Machine Learning, Federal Register Notice 86 FR 16837 Requests for Information Multiple agencies are gathering information and comments on financial institutions’ use of artificial intelligence, including machine learning. This request for information seeks to understand respondents’ views on the use of AI by financial institutions in their provision of services to customers and for other business or operational purposes; appropriate governance, risk management, and controls over AI; and any challenges in developing, adopting, and managing AI. Comments due June 1, 2021. 3/31/2021 2021
Request for Information and Comment on Financial Institutions’ Use of Artificial Intelligence, Including Machine Learning, Federal Register Notice 86 FR 27960 Requests for Information This notice extends the comment period of the RFI of the same name (86 FR 16837) posted on March 31, 2021. Comments due July 1, 2021. 5/24/2021 2021
Role of Artificial Intelligence Tools in U.S. Commercial Nuclear Power Operations, Federal Register Notice 86 FR 20745 Requests for Information The U.S. Nuclear Regulatory Commission (NRC) is requesting public comment on the current state of commercial nuclear power operations relative to the use of artificial intelligence (AI) and machine learning (ML) tools. Submit comments by May 21, 2021. Comments received after this date will be considered if it is practical to do so, but the Commission is able to ensure consideration only for comments received on or before this date. 4/21/2021 2021
(Draft) A Proposal for Managing and Mitigating Bias in Artificial Intelligence Scientific and Technical Reports NIST outlines a draft approach in A Proposal for Identifying and Managing Bias in Artificial Intelligence (NIST Special Publication 1270), a new publication that forms part of the agency’s broader effort to support the development of trustworthy and responsible AI. NIST is accepting comments on the document until Aug. 5, 2021, and the authors will use the public’s responses to help shape the agenda of several collaborative virtual events NIST will hold in coming months . 6/22/2021 2021