Title Publication Type About Published Year
(FOC) 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). 01/14/2021 2021
(NSTC) 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
(NSTC) 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
(NSTC) 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
(OSTP) 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
(DOC/NIST) 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
(NSTC) 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
(NSTC) 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
(NSTC, 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
(NSCAI) 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
(DOC/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
(DoD/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. 09/01/2019 2019
(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
(ODNI) The AIM Initiative: A Strategy for Augmenting Intelligence Using Machines Strategy Documents The Office of Director of National Intelligence (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 understanding, 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 for 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
(OMB) 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
(DOT/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
(HHS/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
(DOC/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
(NSTC) 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
(NITRD) 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
(OSTP) 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) Raising Awareness of Artificial Intelligence for Transportation Systems Management and Operations Scientific and Technical Reports This report from DOT’s Federal Highway Administration 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
(NITRD) 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
(DOE) 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
(DOE) 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
(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: Artificial Intelligence – Emerging Opportunities, Challenges, and Implications 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
(DOC/NIST) 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
(DOC/NIST) 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
(White House) 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) 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
(ODNI) 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
(ODNI) 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
(OSTP) 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
(OSTP) 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
(NSTC) 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
(HHS/NIH) 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 (comments due 10/26/2018) 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. Comments were due on Oct. 26, 2018. 09/26/2018 2018
(NITRD) Comments Received in Response to the Request for Information on Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan (comments due 10/26/2018) 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, for which comments were due on Oct. 26, 2018. 12/19/2018 2018
(DOC/NIST) Artificial Intelligence Standards, Federal Register Notice 84 FR 18490 (comments due 05/31/2019) 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. Comments were due on May 31, 2019. 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 (comments due 03/13/2020) 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. Comments were due on Mar. 13, 2020. 01/13/2020 2020
(DOC/USPTO) Request for Comments on Intellectual Property Protection for Artificial Intelligence Innovation, Federal Register Notice 84 FR 66176 (comments due 12/16/2019) 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. Comments were due on Dec. 16, 2019. 12/03/2019 2019
(DOC/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 (comments due 12/16/2019) Requests for Information This notice requested public comment of the NOAA Unmanned Systems, Artificial Intelligence, `Omics, and Cloud draft strategies. Comments were due on Dec. 16, 2019. 11/14/2019 2019
(DOC/USPTO) Request for Comments on Patenting Artificial Intelligence Inventions, Federal Register Notice 84 FR 44889 (comments due 10/11/2019) 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. Comments were due on Oct. 11, 2019. 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 (comments due 08/09/2019) 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. Comments were due on Aug. 9, 2019. 07/10/2019 2019
(State) 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
(NSTC) 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
(EOP) Artificial Intelligence, Automation, and the Economy Scientific and Technical Reports This report from the Executive Office of the President explores the effects of AI-driven automation on the U.S. job market and economy, and outlines recommended policy responses. 12/1/2016 2016
(Fed, CFPB, FDIC, NCUA, Treasury) Request for Information and Comment on Financial Institutions’ Use of Artificial Intelligence, Including Machine Learning, Federal Register Notice 86 FR 16837 (subsequent RFI extended due date for comments to 07/01/2021) 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 were due on June 1, 2021. 03/31/2021 2021
(Fed, CFPB, FDIC, NCUA, Treasury) Request for Information and Comment on Financial Institutions’ Use of Artificial Intelligence, Including Machine Learning, Federal Register Notice 86 FR 27960 (comments due 07/01/2021) Requests for Information This notice extends the comment period of the RFI of the same name (86 FR 16837) posted on Mar. 31, 2021. The initial deadline for comments was June 1, 2021, and this RFI, 86 FR 27960, extended due date for comments to July 1, 2021. 05/24/2021 2021
(NRC) Role of Artificial Intelligence Tools in U.S. Commercial Nuclear Power Operations, Federal Register Notice 86 FR 20745 (comments due 06/21/2021) 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. Comments were due on May 21, 2021. 04/21/2021 2021
(DOC/NIST) (Draft) A Proposal for Managing and Mitigating Bias in Artificial Intelligence (comments due 09/10/2021) Requests for Information 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. The authors will use the public’s responses to help shape the agenda of several collaborative virtual events NIST will hold in coming months. The initial deadline for comments was Aug. 5, 2021, and a subsequent notice extended the deadline to Sep. 10, 2021. 06/22/2021 2021
(DOC/USPTO) Inventing AI: Tracing the diffusion of artificial intelligence with U.S. patents Scientific and Technical Reports In this report, USPTO explores how to gauge the nature and diffusion of AI technologies through patents. The authors use a machine learning AI algorithm to determine the volume, nature, and evolution of AI and its component technologies as contained in U.S. patents from 1976 through 2018 (called a patent landscape). 10/01/2020 2020
(HHS/NIH) Request for Information (RFI): Inviting Input to Broaden the Benefits of AI/ML Technologies to Reduce Health Disparities and Inequities and Enhance the Diversity of the AI/ML Workforce (comments due 07/09/2021) Requests for Information Through this Request for Information (RFI), the National Institutes of Health (NIH) seeks to understand the needs, interests and opportunities for building and advancing Artificial Intelligence/Machine Learning (AI/ML) approaches using electronic health record (EHR) and other types of data (e.g., genomics, imaging, social determinants of health) to redress health disparities and advance health equity, with an emphasis on providing technical assistance and training on research and implementation of AI/ML to lay ground work for the preparation of new data systems for underrepresented groups. Comments were due on July 9, 2021. 06/21/2021 2021
(GAO) Facial Recognition Technology: Federal Law Enforcement Agencies Should Better Assess Privacy and Other Risks Scientific and Technical Reports GAO was asked to review federal law enforcement use of facial recognition technology. This report examines the 1) ownership and use of facial recognition technology by federal agencies that employ law enforcement officers, 2) types of activities these agencies use the technology to support, and 3) the extent that these agencies track employee use of facial recognition technology owned by non-federal entities. 06/29/2021 2021
(GAO) Artificial Intelligence: An Accountability Framework for Federal Agencies and Other Entities Scientific and Technical Reports In this report, GAO identifies key accountability practices—centered around the principles of governance, data, performance, and monitoring—to help federal agencies and others use AI responsibly. For example, the governance principle calls for users to set clear goals and engage with diverse stakeholders. 06/30/2021 2021
(DoD) Request for Information (RFI): Responsible AI Expertise, Products, Services, Solutions, and Best Practices (comments due 07/14/2021) Requests for Information The Joint Artificial Intelligence Center (JAIC) has issued a Request for Information (RFI), through its AI procurement initiative, Tradewind, calling on responsible AI subject matter experts and organizations to provide input on knowledge, tools, services, and solutions the Department can leverage to expedite the adoption of the tenets. Comments were due by July 14, 2021. 06/22/2021 2021
(OSTP, NSF) Request for Information (RFI) on an Implementation Plan for a National Artificial Intelligence Research Resource, Federal Register Notice 86 FR 39081 (subsequent RFI extended due date for comments to 10/01/2021) Requests for Information The White House Office of Science and Technology Policy and the National Science Foundation have issued this Request for Information (RFI) to inform the work of the National Artificial Intelligence Research Resource (NAIRR) Task Force (“Task Force”). The Task Force has been directed by Congress to develop an implementation roadmap for a shared research infrastructure that would provide Artificial Intelligence (AI) researchers and students across scientific disciplines with access to computational resources, high-quality data, educational tools, and user support. The initial deadline for comments was Sep. 1, 2021, and a subsequent RFI, 86 FR 46278, extended due date for comments to Oct. 1, 2021. 07/23/2021 2021
(DOC/NIST) Request for Information (RFI): Artificial Intelligence Risk Management Framework, Federal Register Notice 86 FR 40810 (subsequent RFI extended due date for comments to 09/15/2021) Requests for Information The National Institute of Standards and Technology is developing a risk management framework that can be used to improve the management of risks to individuals, organizations, and society associated with artificial intelligence (AI). This notice requests information to help inform, refine, and guide the development of this Framework. The initial deadline for comments was Aug. 19, 2021, and a subsequent RFI, 86 FR 47296, extended due date for comments to Sep. 15, 2021. 07/29/2021 2021
(DHS) S&T Artificial Intelligence and Machine Learning Strategic Plan Strategy Documents The U.S. Department of Homeland Security (DHS) Science and Technology Directorate (S&T) presents goals that will enable S&T to conduct Artificial Intelligence and Machine Learning (AI/ML) research, development, test, and evaluation activities to support DHS mission needs, and to advise stakeholders on developments in AI/ML and the associated opportunities and risks. 08/01/2021 2021
(OSTP, NSF) Request for Information (RFI) an on Implementation Plan for a National Artificial Intelligence Research Resource, Federal Register Notice 86 FR 46278 (subsequent RFI extended due date for comments to 10/01/2021) Requests for Information This notice extends the comment period of the RFI of the same name (86 FR 39081) posted on July 23, 2021. The initial deadline for comments was Sep. 1, 2021, and this RFI, 86 FR 46278, extended due date for comments to Oct. 1, 2021. 08/18/2021 2021
(DOC/NIST) Request for Information (RFI): Artificial Intelligence Risk Management Framework, Federal Register Notice 86 FR 47296 (subsequent RFI extended due date for comments to 09/15/2021) Requests for Information This notice extends the comment period of the RFI of the same name (86 FR 40810) posted on July 29, 2021. The initial deadline for comments was Aug. 19, 2021, and this RFI, 86 FR 47296, extended due date for comments to Sep. 15, 2021. 08/24/2021 2021
(DOC) Call for Nominations To Serve on the National Artificial Intelligence Advisory Committee and Call for Nominations To Serve on the Subcommittee on Artificial Intelligence and Law Enforcement, Federal Register Notice 86 FR 50326 (nominations due 10/25/2021) Requests for Information This notices calls for nominations to serve on the National Artificial Intelligence Advisory Committee, and on the Subcommittee on Artificial Intelligence and Law Enforcement. Nominations due Oct. 25, 2021. 09/08/2021 2021
(DOC/USPTO) Patent Eligibility Jurisprudence Study, Federal Register Notice 86 FR 36257 (subsequent RFI extended due date for comments to 10/15/2021) Requests for Information At the request of Senators Tillis, Hirono, Cotton, and Coons, the United States Patent and Trademark Office (USPTO) is undertaking a study on the current state of patent eligibility jurisprudence in the United States, and how the current jurisprudence has impacted investment and innovation, particularly in critical technologies like quantum computing, artificial intelligence, precision medicine, diagnostic methods, and pharmaceutical treatments. The USPTO seeks public input on these matters to assist in preparing the study. The initial deadline for comments was September 7, 2021, and a subsequent RFI, 86 FR 49521, extended due date for comments to Oct. 15, 2021. 07/09/2021 2021
(DOC/USPTO) Patent Eligibility Jurisprudence Study, Federal Register Notice 86 FR 49521 (subsequent RFI extended due date for comments to 10/15/2021) Requests for Information This notice extends the comment period of the RFI of the same name (86 FR 36257) posted on July 09, 2021. The initial deadline for comments was September 7, 2021, and this RFI, 86 FR 49521, extended due date for comments to Oct. 15, 2021. 09/03/2021 2021
(HHS/NIH, FDA) Critical resource gaps and opportunities to support Next Generation Sequencing (NGS) test development, validation, and data interpretation, including through the use of technologies such as artificial intelligence (AI)/machine learning (ML) (comments due 11/01/2021) Requests for Information The National Institutes of Health (NIH) and the Food and Drug Administration (FDA) are requesting information from stakeholders on what critical resource gaps exist to support Next Generation Sequencing (NGS) test validation and development (e.g., highly characterized reference materials, infrastructure) and tool development and data interpretation (e.g., AI/ML technologies). This RFI is being released in parallel with a companion RFI (NOT-OD-21-163) focused on reference material gaps for radiology. Comments due Nov. 1, 2021. 08/03/2021 2021
(HHS/NIH, FDA) Request for Information: Critical resource gaps and opportunities to support radiological tool development and clinical data interpretation using artificial intelligence (AI)/machine learning (ML) (comments due 11/01/2021) Requests for Information The National Institutes of Health (NIH) and the Food and Drug Administration (FDA) are requesting information on what critical resource gaps exist for validation and use of AI/ML to support radiological tool development and clinical data interpretation. This RFI is being released in parallel with a companion RFI (NOT-OD-21-162) focused on resource gaps for Next Generation Sequencing (NGS). Comments due Nov. 1, 2021. 08/03/2021 2021
(HHS/ONC) Training Data for Machine Learning (ML) to Enhance Patient-Centered Outcomes Research (PCOR) Data Infrastructure Scientific and Technical Reports The goal of the Training Data for Machine Learning to Enhance PCOR Data Infrastructure project was to conduct foundational work to support future applications of AI/ML to improve patient-centered outcomes research (PCOR), health and health care delivery. This final report details how the Project advanced the application of machine learning in PCOR. 09/15/2021 2021
(DOC/NIST) Machine Learning for Access Control Policy Verification
Scientific and Technical Reports Access control policy verification ensures that there are no faults within the policy that leak or block access privileges. This report describes a new method for access control policy verification that uses machine learning. 09/16/2021 2021
(ED) Identifying Students At Risk Using Prior Performance Versus a Machine Learning Algorithm
Scientific and Technical Reports This report provides information for administrators in local education agencies who are considering early warning systems to identify at-risk students. 09/28/2021 2021
(State) Enterprise Data Strategy: Empowering Data Informed Diplomacy Strategy Documents This document outlines a strategy for the State Department to be equipped with timely, data-informed insights necessary to make key mission and management decisions. 09/27/2021 2021
(DoD/NGA) NGA Data Strategy Strategy Documents The National Geospatial-Intelligence Agency published the agency’s data strategy. The document outlines its plans to transform and improve the way data is created, managed and shared in order to maintain dominance in the delivery of geospatial intelligence. 10/06/2021 2021
(OSTP) Request for Information (RFI) on Public and Private Sector Uses of Biometric Technologies (comments due 01/15/2022) Requests for Information The Office of Science and Technology Policy (OSTP) requests input from interested parties on past deployments, proposals, pilots, or trials, and current use of biometric technologies for the purposes of identity verification, identification of individuals, and inference of attributes including individual mental and emotional states. Comments due Jan. 15, 2022. 10/08/2021 2021
(ED) Predicting Early Fall Student Enrollment in the School District of Philadelphia Scientific and Technical Reports Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. This study compared the accuracy of four statistical techniques for predicting fall enrollment at the school-by-grade level, using data from prior years, to assess which approach might be the most useful for planning school staffing in SDP. 10/12/2021 2021
(VA) Department of Veterans Affairs Artificial Intelligence (AI) Strategy Strategy Documents As part of the Department of Veterans Affairs’ efforts to explore the use of AI in the delivery of health care and benefits, VA implemented a new AI strategy late September 2021, to serve as a guideline for ethical use of AI throughout its enterprise. 10/14/2021 2021
(DOC/NIST) Study on People’s Republic of China (PRC) Policies and Influence in the Development of International Standards for Emerging Technologies (comments due 12/06/2021) Requests for Information The National Institute of Standards and Technology (NIST) is soliciting public comment on People’s Republic of China (PRC) policies and influence in the development of international standards for emerging technologies. 11/04/2021 2021
(DOJ) Artificial Intelligence Strategy for the U.S. Department of Justice Strategy Documents The AI strategy for the Department of Justice (DOJ) provides a framework for a Department-wide coordinated approach to AI. The strategy outlines specific actions and outcomes aligned with several areas of emphasis: cultivating an AI-ready workforce, aligning activities with the DOJ Data Strategy, building a governance structure, and supporting Department-wide AI adoption, with implementation designed to adapt to the evolving technology landscape. 12/15/2020 2020
(USAID) Reflecting the Past, Shaping the Future: Making AI Work for International Development Scientific and Technical Reports This document aims to inform and empower those who may have limited technical experience as they navigate an emerging ML/AI landscape in developing countries. 09/05/2018 2018
(USAID) Managing Machine Learning Projects in International Development: A Practical Guide Scientific and Technical Reports This guide focuses on promoting the responsible use of artificial intelligence in development and humanitarian work, without assuming background expertise in data science or digital programming. 01/12/2021 2021
(DOC/NIST) (Draft) Taxonomy of AI Risk Scientific and Technical Reports This draft paper has been developed to address and build on responses to the Request for Information (RFI) released by NIST to help develop the AI Risk Management Framework (AI RMF). Among other things, in that RFI, NIST proposed eight characteristics of trustworthy AI. This paper aims to provide context to the eight characteristics of trustworthy AI mentioned in the RFI, clarify the distinction between characteristics and principles, and advance discussions about AI risks and forge agreements across organizations and internationally to the benefit AI design, development, use, and evaluation. 10/15/2021 2021
(GSA) Digital Worker Identity Playbook Scientific and Technical Reports A digital worker, as defined by this playbook, is as an automated, software-based tool, application, or agent that performs a business task or process similar to a human user and uses AI or other autonomous decision-making capabilities. This playbook helps federal agency Identity, Credential, and Access Management (ICAM) programs, as well as Chief Information Officer and Chief Information Security Officer offices, determine the risk of, and define a process for, digital worker identity management. 01/05/2021 2021
(CSPC) Artificial Intelligence and Machine Learning in Consumer Products Scientific and Technical Reports This report provides background information on AI and machine learning, and outlines a proposed framework to evaluate the safety of these technologies in consumer products. Given the Consumer Product Safety Commission’s (CPSC) mission to protect consumers from unreasonable risk of injury from products, this report includes recommendations for a program that identifies and analyzes potential hazards associated with AI and machine learning in consumer products. 05/19/2021 2021
(HHS/FDA) Good Machine Learning Practice for Medical Device Development: Guiding Principles Ethical Principles The U.S. Food and Drug Administration, Health Canada, and the United Kingdom’s Medicines and Healthcare products Regulatory Agency have jointly identified 10 guiding principles that can inform the development of Good Machine Learning Practice (GMLP). These guiding principles will help promote safe, effective, and high-quality medical devices that use AI and machine learning. 10/27/2021 2021
(DoD/Navy) Science & Technology Strategy for Intelligent Autonomous Systems Strategy Documents This document sets the Naval Intelligent Autonomous Systems vision, provides the strategic investment framework, and guides coherence to accelerate development, operationalization, and adoption. 07/02/2021 2021
(DOE/ASCAC) Final Report of the Subcommittee on AI/ML, Data-intensive Science and High-Performance Computing Scientific and Technical Reports This report assesses the opportunities and challenges from AI and machine learning for the advancement of science, technology, and Department of Energy Office of Science missions. It also identifies strategies that the Advanced Scientific Computing Research program can use, in coordination with other Office of Science programs, to address the challenges and deliver on the opportunities. 09/23/2020 2020
(GAO) Facial Recognition Technology: Current and Planned Uses by Federal Agencies Scientific and Technical Reports This report identifies and describes (1) how agencies used FRT in fiscal year 2020, including any related research and development and interactions with non-federal entities, and (2) how agencies plan to expand their use of FRT through fiscal year 2023. 08/24/2021 2021
(GAO) Facial Recognition Technology: Federal Law Enforcement Agencies Should Have Better Awareness of Systems Used By Employees Scientific and Technical Reports This document describes (1) the ownership and use of facial recognition technology by federal agencies that employ law enforcement officers, (2) the types of activities these agencies use the technology to support, and (3) the extent that these agencies track employee use of facial recognition technology owned by non-federal entities, including the potential privacy and accuracy implications 07/13/2021 2021
(GAO) Facial Recognition Technology: Privacy and Accuracy Issues Related to Commercial Uses Scientific and Technical Reports Among other issues, this report examines how companies use the technology, its accuracy and how accuracy differs across demographic groups, and how privacy issues are addressed in laws and industry practices. 07/13/2020 2020
(GAO) Homeland Security: DHS Needs to Fully Implement Key Practices in Acquiring Biometric Identity Management System Scientific and Technical Reports This report aimed to (1) determine the status of the Department of Homeland Security’s (DHS) Homeland Advanced Recognition Technology (HART) program, (2) assess the extent to which the DHS Chief Information Officer was accurately reporting risk and meeting applicable oversight requirements, and (3) assess the extent to which the program was identifying and managing its risks. 06/08/2021 2021
(GAO) Facial Recognition: CBP and TSA are Taking Steps to Implement Programs, but CBP Should Address Privacy and System Performance Issues Scientific and Technical Reports This report reviews Customs and Border Protection’s and Transportation Security Administration’s facial recognition technology capabilities for traveler identity verification. 09/02/2020 2020
(GAO) Face Recognition Technology: DOJ and FBI Need to Take Additional Actions to Ensure Privacy and Accuracy Scientific and Technical Reports This document aims to describe the extent to which the FBI ensures adherence to laws and policies related to privacy regarding its use of face recognition technology, and ensure its face recognition capabilities are sufficiently accurate. 03/22/2017 2017
(CRS) Artificial Intelligence: Background, Selected Issues, and Policy Considerations Scientific and Technical Reports This report aims to summarize the recent growth in the field of AI, U.S. government activity in AI, and selected AI-related issues for Congressional consideration. 05/19/2021 2021
(CRS) Artificial Intelligence and National Security Scientific and Technical Reports This report aims to summarize AI applications for defense, military AI integration challenges, international competitors and institutions, AI opportunities and challenges, and AI’s potential impact on combat. 11/10/2020 2020
(CRS) U.S. Ground Forces Robotics and Autonomous Systems (RAS) and Artificial Intelligence (AI): Considerations for Congress Scientific and Technical Reports This report aims to explore a number of issues related to AI and Robotics and Autonomous Systems (RAS), such as issues related to lethal autonomous weapons systems. 11/20/2018 2018
(CRS) Artificial Intelligence (AI) and Education Scientific and Technical Reports This document explores some applications of AI in classrooms, benefits and drawbacks of AI in classrooms, and federal activity and policy considerations on issues related to AI and education. 08/01/2018 2018
(DHS) Public Perceptions of Emerging Technology (comments due 12/06/2021) Requests for Information The Department of Homeland Security (DHS) is soliciting public comments regarding applications of AI, including facial recognition. To gain public support for DHS’s use of these technologies, DHS seeks to understand how the public perceives these technologies, and how DHS can design and deploy them in a manner responsive to the public’s concerns. 11/05/2021 2021
(HHS/CMS) Medicare Program: Hospital Outpatient Prospective Payment and Ambulatory Surgical Center Payment Systems and Quality Reporting Programs; Price Transparency of Hospital Standard Charges; Radiation Oncology Model Requests for Information The Centers for Medicare & Medicaid Services issued a final rule that changes the amounts and factors used to determine certain payment rates for Medicare services. Among other things, this rule describes the proper cost reporting procedures for a number of healthcare services that use artificial intelligence. This aims to help provide payment stability and equitable payment for providers as they continue to become more familiar with the proper cost reporting for AI services. 11/16/2021 2021
(DoD/DIU) Responsible AI Guidelines in Practice Ethical Principles The Defense Innovation Unit (DIU) launched a strategic initiative in March 2020 to implement the Department of Defense’s (DoD) Ethical Principles for AI into its commercial prototyping and acquisition programs. The result is a set of Responsible AI Guidelines that are informed by DIU’s practical experience, as well as practices across government, non-profit, academic, and industry partners. 11/15/2021 2021
(DOJ) Data Strategy for the U.S. Department of Justice Strategy Documents The Department of Justice (DOJ) released a Data Strategy that seeks to build enterprise capabilities for data management, information sharing, controlled access, and maintaining a modern and relevant data workforce. 02/26/2019 2019