| Title | Publication Type | About | Published | Year |
|---|---|---|---|---|
| (NSTC) Lessons Learned from Federal Use of Cloud Computing To Support Artificial Intelligence Research and Development | Scientific and Technical Reports | This document aims to capture lessons learned from the activities spearheaded by various agencies to enhance access to cloud computing resources to advance federally funded AI R&D and highlight potential opportunities going forward for optimizing Federal use of commercial cloud as a component of broader efforts to further AI R&D that can accelerate scientific discovery and address societal challenges. This report focuses specifically on the progress Federal departments and agencies are making pursuant to the directive in EO 13859 to prioritize allocation of high-performance computing resources for AI. | 07/15/2022 | 2022 |
| (NITRD) Request for Information on Federal Video and Image Analytics Research and Development Action Plan (comments due 09/05/2022) | Requests for Information | The NITRD NCO and NSF, on behalf of the National Science and Technology Council’s (NSTC’s) Committee on Science & Technology Enterprise is requesting input on updating the 2020 Federal Video and Image Analytics (VIA) Research and Development (R&D) Action Plan, including comments on the six strategic goals and objectives regarding additions, removals, or modifications, as well as suggestions on implementation of strategic goals and objectives. Published as Federal Register Notice 87 FR 42212, with comments due September 05, 2022. | 07/14/2022 | 2022 |
| (FTC) Combatting Online Harms Through Innovation | Scientific and Technical Reports | The Federal Trade Commission (FTC) issued this report to Congress warning about using AI to combat online problems and urging policymakers to exercise “great caution” about relying on it as a policy solution. The report pays particular attention to the potential harms from inherent design flaws and inaccuracy, bias and discrimination, and commercial surveillance incentives. | 06/16/2022 | 2022 |
| (CRS) Deep Fakes and National Security | Scientific and Technical Reports | The Congressional Research Service (CRS) published an analysis of deep fakes and the threat they could pose to national security in the years to come. | 06/03/2022 | 2022 |
| (EEOC) The Americans with Disabilities Act and the Use of Software, Algorithms, and Artificial Intelligence to Assess Job Applicants and Employees | Scientific and Technical Reports | The Equal Employment Opportunity Commission (EEOC) issued this technical assistance document that explains how employers’ use of software that relies on algorithmic decision-making may violate existing requirements under Title I of the Americans with Disabilities Act (ADA). This document also provides practical tips to employers on how to comply with the ADA, and to job applicants and employees who think that their rights may have been violated. | 05/12/2022 | 2022 |
| (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. | 10/13/2018 | 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. Published as Federal Register Notice 83 FR 48655, with comments due Oct. 26, 2018. Comments submitted in response to this RFI are available here. | 09/26/2018 | 2018 |
| (DOC/NIST) Artificial Intelligence Standards (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. Published as Federal Register Notice 84 FR 18490, with comments due May 31, 2019. Comments submitted in response to this RFI are available here. | 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” (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. Published as Federal Register Notice 85 FR 1825, with comments due Mar. 13, 2020. Comments submitted in response to this RFI are available here. | 01/13/2020 | 2020 |
| (DOC/USPTO) Request for Comments on Intellectual Property Protection for Artificial Intelligence Innovation (subsequent RFI extended due date for comments to 01/10/2020) | 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. Published as Federal Register Notice 84 FR 58141, with comments due Dec. 16, 2019; a subsequent RFI, 84 FR 66176, extended due date for comments to Jan. 10, 2020. Comments submitted in response to this RFI are available here. | 10/30/2019 | 2019 |
| (DOC/USPTO) Request for Comments on Intellectual Property Protection for Artificial Intelligence Innovation (extended due date for comments to 01/10/2020) | Requests for Information | This notice, published as Federal Register Notice 84 FR 66176, extended the comment period of the RFI of the same name (84 FR 58141) posted on Oct. 30, 2019. The initial deadline for comments was Dec. 16, 2019, and this RFI, 84 FR 66176, extended due date for comments to Jan. 10, 2020. | 10/30/2019 | 2019 |
| (DOC/NOAA) Public Comment for the Four Draft NOAA Science and Technology Strategies: NOAA Unmanned Systems, Artificial Intelligence, ‘Omics, and Cloud Strategies (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. Published as Federal Register Notice 84 FR 61891, with comments due Dec. 16, 2019. Comments submitted in response to this RFI are available here. | 11/14/2019 | 2019 |
| (DOC/USPTO) Request for Comments on Patenting Artificial Intelligence Inventions (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. Published as Federal Register Notice 84 FR 44889, with comments due Oct. 11, 2019. Comments submitted in response to this RFI are available here. | 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 (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. Published as Federal Register Notice 84 FR 32962, comments were 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 (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. Published as Federal Register Notice 86 FR 16837, with comments due June 1, 2021; a subsequent RFI, 86 FR 27960, extended due date for comments to July 1, 2021. Comments submitted in response to this RFI are available here. | 03/31/2021 | 2021 |
| (Fed, CFPB, FDIC, NCUA, Treasury) Request for Information and Comment on Financial Institutions’ Use of Artificial Intelligence, Including Machine Learning (extended due date for comments to 07/01/2021) | Requests for Information | This notice, Federal Register Notice 86 FR 27960, 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 (comments due 05/21/2021) | 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. Published as Federal Register Notice 86 FR 20745, with comments due May 21, 2021. Comments submitted in response to this RFI are available here. | 04/21/2021 | 2021 |
| (DOC/NIST) (Draft) A Proposal for Managing and Mitigating Bias in Artificial Intelligence (subsequent RFI extended due date for comments to 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. Published as Federal Register Notice 86 FR 40810, with comments due Aug. 5, 2021; a subsequent notice extended the deadline to Sep. 10, 2021. Comments submitted in response to this RFI are available here. | 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. Published as Notice Number NOT-OD-21-147, with comments due July 9, 2021. A summary and analysis of RFI responses can be found here. | 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. Published with identifier TW-21-004, with comments due July 14, 2021. | 06/22/2021 | 2021 |
| (OSTP, NSF) Request for Information (RFI) on an Implementation Plan for a National Artificial Intelligence Research Resource (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. Published as Federal Register Notice 86 FR 39081, with commends due Sep. 1, 2021; a subsequent RFI, 86 FR 46278, extended due date for comments to Oct. 1, 2021. Comments submitted in response to this RFI are available here. | 07/23/2021 | 2021 |
| (DOC/NIST) Request for Information (RFI): Artificial Intelligence Risk Management Framework (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. Published as Federal Register Notice 86 FR 40810, with comments due Aug. 19, 2021; a subsequent RFI, 86 FR 47296, extended due date for comments to Sep. 15, 2021. Comments submitted in response to this RFI are available here. | 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 (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 (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 (nominations due 10/25/2021) | Requests for Information | This notice calls for nominations to serve on the National Artificial Intelligence Advisory Committee, and on the Subcommittee on Artificial Intelligence and Law Enforcement. Published as Federal Register Notice 86 FR 50326, with nominations due Oct. 25, 2021. | 09/08/2021 | 2021 |
| (DOC/USPTO) Patent Eligibility Jurisprudence Study (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. Published as Federal Register Notice 86 FR 36257, with commends due September 7, 2021; a subsequent RFI, 86 FR 49521, extended due date for comments to Oct. 15, 2021. Comments submitted in response to this RFI are available here. | 07/09/2021 | 2021 |
| (DOC/USPTO) Patent Eligibility Jurisprudence Study (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. Published as Notice Number NOT-OD-21-162, with comments due Nov. 1, 2021. Comments submitted in response to this RFI are available here. | 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). Published as Notice Number NOT-OD-21-163, with comments due Nov. 1, 2021. Comments submitted in response to this RFI are available here. | 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 White House Office of Science and Technology Policy (OSTP) requested 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. Published as Federal Register Notice 86 FR 56300, with comments due Jan. 15, 2022. Comments submitted in response to this RFI are available here. | 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. Published as Federal Register Notice 86 FR 60801, with comments were due Dec. 6, 2021. Comments submitted in response to this RFI are available here. | 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. Published as Federal Register Notice 86 FR 61285, with comments due Dec. 6, 2021. Comments submitted in response to this RFI are available here. | 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 (comments due 12/02/2021) | 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. Published as Federal Register Notice 86 FR 63458, with comments due Dec. 2, 2021. Comments submitted in response to this RFI are available here. | 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 |
| (NSTC) NITRD/NAIIO Supplement to the President’s FY2022 Budget | AI Budget | This document is a supplement to the President’s FY2022 Budget Request to Congress, providing a summary of the Networking and Information Technology Research and Development investments by agency, including specific agency nondefense R&D investments for artificial intelligence. The Supplement also includes for the first time a roll-up of investments in the National AI Research Institutes. | 12/06/2021 | 2021 |
| (DOC/NIST) Study To Advance a More Productive Tech Economy (subsequent RFI extended due date for comments to 02/15/2022) | Requests for Information | The National Institute of Standards and Technology (NIST) is seeking information about the public and private sector marketplace trends, supply chain risks, legislative, policy, and the future investment needs of eight emerging technology areas, including artificial intelligence. The information will inform a final report that will be submitted to Congress. Published as Federal Register Notice 86 FR 66287, with comments due Jan. 31, 2022; a subsequent RFI, 87 FR 4564, extended due date for comments to Feb. 15, 2022. | 11/22/2021 | 2021 |
| (HHS/AHRQ) Request for Information on the Use of Clinical Algorithms That Have the Potential To Introduce Racial/Ethnic Bias Into Healthcare Delivery (comments due 05/04/2021) | Requests for Information | The Agency for Healthcare Research and Quality (AHRQ) is seeking information from the public on clinical algorithms that are used or recommended in medical practice and any evidence on clinical algorithms that may introduce bias into clinical decision- making and/or influence access to care, quality of care, or health outcomes for racial and ethnic minorities and those who are socioeconomically disadvantaged. Published as Federal Register Notice 86 FR 12948, with comments due May 04, 2021. | 03/05/2021 | 2021 |
| (OMB) Federal Data Strategy: 2021 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 2021 Action Plan that defines agency actions in support of legislative and administrative requirements, toward the goal of developing a mature data asset management environment. | 10/22/2021 | 2021 |
| (CRS) Defense Primer: U.S. Policy on Lethal Autonomous Weapon Systems | Scientific and Technical Reports | This report provides an overview of U.S. policy, international discussions, and potential questions for Congress with respect to lethal autonomous weapon systems. | 11/17/2021 | 2021 |
| (DOC/NIST) AI Risk Management Framework Concept Paper | Requests for Information | This Artificial Intelligence Risk Management Framework (AI RMF) concept paper incorporates input from the Notice of Request for Information (RFI) released by the National Institute of Standards and Technology (NIST) on July 29, 2021 (86 FR 40810), and discussions during the workshop, “Kicking off NIST AI Risk Management Framework,” held October 19-21, 2021. | 12/13/2021 | 2021 |
| (HHS) Trustworthy AI (TAI) Playbook | Scientific and Technical Reports | The Department of Health and Human Services (HHS) published a Trustworthy AI Playbook that includes HHS-specific guidance on major trustworthy AI concepts and how to confidently use and deploy AI solutions. The playbook enables HHS agencies and offices to deploy AI applications that meet HHS and federal government standards set forth in Executive Order 13960, providing standard procedures for deploying different types of AI solutions. | 09/28/2021 | 2021 |
| (DoD) DoD AI Education Strategy | Strategy Documents | The Department of Defense (DoD) published a strategy for educating service members in relevant occupational fields on matters relating to AI, pursuant to a requirement from the Fiscal Year 2020 National Defense Authorization Act Section 256. This strategy is aimed at cultivating an AI ready force to accelerate adoption of AI in the DoD. | 10/27/2020 | 2020 |
| (GAO) Technology Assessment: Artificial Intelligence in Health Care | Scientific and Technical Reports | The Government Accountability Office (GAO) published a report which outlines challenges with the use of AI in healthcare, including transparency, bias, and high-quality data. It offers policy option—such as improving data access, establishing best practices, and more—to address these and other challenges—they found. Portions of this report were contributed by the National Academy of Medicine. | 11/30/2020 | 2020 |
| (DHS) Homeland Security Advisory Council: Final Report of the Biometrics Subcommittee | Scientific and Technical Reports | This report outlines the findings of the Homeland Security Advisory Council’s Biometrics Subcommittee’s review of (1) how Department of Homeland Security (DHS) operating agencies and its relevant administrative support entities are currently using biometrics – and for what purposes; (2) DHS’ vision and strategy for use of biometrics; (3) how biometrics are or should be shared inside and outside of DHS; and (4) how to ensure that biometric data gathered or used is appropriately collected and protected. | 11/12/2020 | 2020 |
| (DOJ/BJA, DHS) Face Recognition Policy Development Template for State, Local, and Tribal Criminal Intelligence and Investigative Activities | Scientific and Technical Reports | This policy development template was developed by state, local, and federal law enforcement, privacy, and criminal justice partners to provide law enforcement, fusion centers, and other public safety agencies with a framework for developing face recognition policies that comply with applicable laws, reduce privacy risks, implement minimum required training for authorized users and examiners, and establish entity accountability and oversight. | 12/04/2017 | 2017 |
| (DOC/BEA) Advisory Committee on Data for Evidence Building: Year 1 Report | Scientific and Technical Reports | The Advisory Committee on Data for Evidence Building (ACDEB) was established as part of the Foundations for Evidence-Based Policymaking Act of 2018 (Evidence Act) to review, analyze, and make recommendations to the White House Office of Management and Budget (OMB) Director on how to promote the use of federal data for evidence building with a particular emphasis on evaluating the need for and value of a potential National Secure Data Service (NSDS). This report details the committee’s findings and recommendations from the first year of its work. | 10/29/2021 | 2021 |
| (NSCAI) Key Considerations for the Responsible Development and Fielding of Artificial Intelligence | Scientific and Technical Reports | The National Security Commission on Artificial Intelligence (NSCAI) recommended that the heads of departments and agencies critical to national security implement the key considerations outlined in this document. These key considerations aim to provide a paradigm and recommended practices for the responsible development and fielding of AI systems, including developing processes and programs aimed at adopting the paradigm’s recommended practices, monitoring their implementation, and continually refining them as best practices evolve. | 04/26/2021 | 2021 |
| (NSCAI) Privacy and Ethics Recommendations for Computing Applications Developed to Mitigate COVID-19 | Scientific and Technical Reports | The National Security Commission on Artificial Intelligence (NSCAI) published a white paper with recommendations to put civil liberties at the center of contact tracing methods, and to ensure that federally funded AI tools used in pandemic response account for potential bias and avoid introducing additional unfairness into healthcare delivery and outcomes. | 05/06/2020 | 2020 |
| (NSCAI) Mitigating Economic Impacts of the COVID-19 Pandemic and Preserving U.S. Strategic Competitiveness in Artificial Intelligence | Scientific and Technical Reports | The National Security Commission on Artificial Intelligence (NSCAI) published a white paper with recommendations for using AI to mitigate the economic impact of COVID-19, and for protecting AI and other emerging technologies as strategic assets and sources of U.S. and allied economic strength. | 05/19/2020 | 2020 |
| (NSCAI) The Role of AI Technology in Pandemic Response and Preparedness: Recommended Investments and Initiatives | Scientific and Technical Reports | The National Security Commission on Artificial Intelligence (NSCAI) published a white paper outlining a series of investments and initiatives that it stated the United States must undertake to realize the full potential of AI to secure our nation against pandemics. | 06/25/2020 | 2020 |
| (OSTP) Request for Information to the Update of the National Artificial Intelligence Research and Development Strategic Plan (comments due 03/04/2022) | Requests for Information | The White House Office of Science and Technology Policy (OSTP) requests input from all interested parties on updating the National Artificial Intelligence Research and Development Strategic Plan. Published as Federal Register Notice 87 FR 5876, with comments due March 04, 2022. Comments submitted in response to this RFI are available here. | 02/02/2022 | 2022 |
| (DOT/FHWA) Implementation of Artificial Intelligence to Improve Winter Maintenance | Scientific and Technical Reports | This report describes efforts of the Department of Transportation’s (DOT) Federal Highway Administration (FHWA) to investigate the use of AI to collect and analyze data that could dramatically improve winter maintenance operations, safety, and mobility, as well as reduce costs and labor hours and enhance pavement design and management. | 12/01/2021 | 2021 |
| (DOC/NIST) Study To Advance a More Productive Tech Economy | Requests for Information | This notice, published as Federal Register Notice 87 FR 4564, extended the comment period of the RFI of the same name (86 FR 66287) posted on Nov. 22, 2021. The initial deadline for comments was Jan. 31, 2022, and this RFI, 87 FR 4564, extended due date for comments to Feb. 15, 2022. | 01/28/2022 | 2022 |
| (DOC/NIST) Towards a Standard for Identifying and Managing Bias in Artificial Intelligence | Scientific and Technical Reports | This special publication from the National Institute of Standards and Technology (NIST) aims to surface the salient issues around AI bias, and to provide a first step on the roadmap for developing detailed socio-technical guidance for identifying and managing AI bias. | 03/15/2022 | 2022 |
| (DoD) Summary of the Joint All-Domain Command and Control Strategy | Scientific and Technical Reports | This report from the Department of Defense (DoD) aims to implement a coherent strategy for shaping future Joint Force C2 capabilities by way of increasing volumes of data, employ automation and AI to maintain an information and decision advantage. | 03/17/2022 | 2022 |
| (GAO) Artificial Intelligence: Status of Developing and Acquiring Capabilities for Weapon Systems |
Scientific and Technical Reports | This report from the U.S. Government Accountability Office (GAO) examines the unique nature of AI and the current status of the Department of Defense’s (DoD) AI capabilities that support weapon system, as well as their efforts to address identified challenges in developing, acquiring, and deploying AI capabilities. | 02/17/2022 | 2022 |
| (DOT) Impacts of Automated Vehicles on Highway Infrastructure |
Scientific and Technical Reports | This report from the U.S. Department of Transportation (DOT) outlines the possible impacts of initial automated vehicles (AV) deployment on roadway infrastructure and identifies research opportunities based on AV-industry and State and local agency feedback. |
03/09/2021 | 2021 |
| (DOT) The Role of Artificial Intelligence and Machine Learning in Federally Supported Surface Transportation | Scientific and Technical Reports | This document from the U.S. Department of Transportation (DOT) outlines how the use of AI and machine learning can help digest and analyze large amounts of data and form conclusions that can positively impact and improve the transportation system. | 02/24/2022 | 2022 |
| (DOC/NIST) (Draft) AI Risk Management Framework: Initial Draft (comments due 04/29/2022) | Requests for Information | The National Institute of Standards and Technology (NIST) published an initial draft of the AI Risk Management Framework. This is intended to provide a voluntary framework for addressing risks in the design, development, use, and evaluation of AI products, services, and systems. Comments due April 29, 2022. Comments submitted in response to this RFI are available here. | 12/13/2021 | 2021 |
| (USAID) Artificial Intelligence Action Plan | Strategy Documents | The U.S. Agency for International Development (USAID) released an action plan to chart the course for responsible AI in USAID programming. It outlines steps to committing to responsible AI in USAID programming, strengthening digital ecosystems to support responsible use of AI, and partnering with other organizations to shape a global responsible AI agenda. | 05/07/2022 | 2022 |
| (DOJ/CRT) Algorithms, Artificial Intelligence, and Disability Discrimination in Hiring | Scientific and Technical Reports | This guidance from the Department of Justice (DOJ)’s Civil Rights Division (CRT) explains how algorithms and AI can lead to disability discrimination in hiring. In particular, it outlines when employers’ use of hiring technologies may violate the Americans with Disabilities Act. | 05/12/2022 | 2022 |
| (ED) Request for Information on the Existence and Use of Large Datasets To Address Education Research Questions (comments due 05/31/2022) | Requests for Information | The Department of Education (ED) issued a request for information to solicit public input to identify existing large datasets – including those available to train new AI models – that may be useful for research and to understand the challenges and limitations that may affect access and their value for research. Published as Federal Register Notice 87 FR 25477, with comments due May 31, 2022. | 04/29/2022 | 2022 |
| (OSTP) Request for Information (RFI) on Implementing Initial Findings and Recommendations of the National Artificial Intelligence Research Resource Task Force (comments due 06/30/2022) | Requests for Information | The Office of Science and Technology Policy (OSTP) and the National Science Foundation (NSF) are seeking comment on the initial findings and recommendations contained in the interim report of the National Artificial Intelligence Research Resource (NAIRR) Task Force and particularly on potential approaches to implement those recommendations. Published as Federal Register Notice 87 FR 31914, with comments due June 30, 2022. Comments submitted in response to this RFI are available here. | 05/25/2022 | 2022 |
| (OSTP) Request for Information on Advancing Privacy-Enhancing Technologies (comments due 07/08/2022) | Requests for Information | The White House Office of Science and Technology Policy (OSTP) is requesting public comments to help inform development of a national strategy on privacy-preserving data sharing and analytics, along with associated policy initiatives. Published as Federal Register Notice 87 FR 35250, with comments due July 08, 2022. Comments submitted in response to this RFI are available here. | 06/08/2022 | 2022 |
| (DoD) U.S. Department of Defense Responsible Artificial Intelligence Strategy and Implementation Pathway | Strategy Documents | The Department of Defense (DoD) issued this strategy outlining how the DoD is integrating a commitment to lawful and ethical behavior in designing, developing, testing, procuring, deploying, and using AI. It directs the DoD’s strategic approaching for operationalizing the DoD AI Ethical Principles adopted in February 2020. | 06/22/2022 | 2022 |
| (CFPB) Request for Information (RFI) on Consumer Financial Protection Circular 2022-03: Adverse Action Notification Requirements in Connection With Credit Decisions Based on Complex Algorithms (comments due 06/14/2022) | Requests for Information | The Consumer Financial Protection Bureau (CFPB) issued a rule stating that creditors need to provide a statement of specific reasons to applicants against whom adverse action is taken when creditors make credit decisions based on complex algorithms that prevent creditors from accurately identifying the specific reasons for denying credit or taking other adverse actions. Published as Federal Register Notice 87 FR 35864, with comments due June 14, 2022. | 06/14/2022 | 2022 |
| (NRC) NRC’s Fiscal Years 2023-2027 Artificial Intelligence Strategic Plan (comments due 08/19/2022) | Requests for Information | The U.S. Nuclear Regulatory Commission (NRC) is requesting comments on the NRC’s Fiscal Years (FY) 2023-2027 Artificial Intelligence (AI) Strategic Plan. Specifically, the NRC would like input on the overall strategy as well as the agency’s strategic goals presented in draft NUREG-2261 “Artificial Intelligence Strategic Plan: Fiscal Year 2023-2027,” actions to realize those strategic goals, potential challenges in achieving the outlined goals, and how to address key challenges and external factors. Published as Federal Register Notice 87 FR 39874, with comments due August 19, 2022. | 07/05/2022 | 2022 |
| (DOC/ITA) Request for Comments on Artificial Intelligence Export Competitiveness (comments due 10/17/2022) | Requests for Information | The Department of Commerce (DOC) is requesting public comments to gain insight on the current global AI market and stakeholder concerns regarding international AI policies, regulations, and other measures which may impact U.S. exports of AI technologies. This stakeholder input will provide the DOC with a stronger understanding of the AI landscape as AI impacts existing economic sectors and industries, creates new areas for innovations, and makes its way into global trade discussions. Published as Federal Register Notice 87 FR 50288, with comments due October 17, 2022. | 08/16/2022 | 2022 |
| (FTC) Trade Regulation Rule on Commercial Surveillance and Data Security (comments due 10/21/2022) | Requests for Information | The Federal Trade Commission (FTC) published this advance notice of proposed rulemaking to request public comment on the prevalence of commercial surveillance and data security practices that harm consumers. Specifically, the Commission invites comment on whether it should implement new trade regulation rules or other regulatory alternatives concerning the ways in which companies collect, aggregate, protect, use, analyze, and retain consumer data, as well as transfer, share, sell, or otherwise monetize that data in ways that are unfair or deceptive. Published as Federal Register Notice 87 FR 51273, with comments due October 21, 2022. | 08/22/2022 | 2022 |
| (NIST) AI Risk Management Framework: Second Draft (comments due 09/29/2022) | Requests for Information | The National Institute of Standards and Technology (NIST) published a second draft of the Artificial Intelligence Risk Management Framework (AI RMF), which builds on the initial March 2022 version and the December 2021 concept paper. The AI RMF is intended for voluntary use to address risks in the design, development, use, and evaluation of AI products, services, and systems. Comments due September 29, 2022. | 08/18/2022 | 2022 |
| (DOT) Enhancing the Safety of Vulnerable Road Users at Intersections; Request for Information (comments due 10/16/2022) | Requests for Information | The Department of Transportation (DOT) seeks comments on the possibility of adapting existing and emerging automation technologies to accelerate the development of real-time roadway intersection safety and warning systems for both drivers and VRUs in a cost-effective manner that will facilitate deployment at scale. Published as Federal Register Notice 87 FR 57019, with comments due October 16, 2022. | 09/16/2022 | 2022 |
| (White House) Advancing Biotechnology and Biomanufacturing Innovation for a Sustainable, Safe, and Secure American Bioeconomy | Strategy Documents | The Executive Order on Advancing Biotechnology and Biomanufacturing Innovation for a Sustainable, Safe, and Secure American Bioeconomy states that the United States needs to be able to unlock the power of biological data, including through artificial intelligence. It directs the Secretary of Commerce to create a lexicon for the bioeconomy to help the application of AI and machine learning tools. | 09/15/2022 | 2022 |
| (OSTP) Blueprint for an AI Bill of Rights | Ethical Principles | The Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People was published by the White House Office of Science and Technology Policy in October 2022. This framework was released one year after OSTP announced the launch of a process to develop “a bill of rights for an AI-powered world.” Its release follows a year of public engagement to inform this initiative. The framework is available online at here. | 10/03/2022 | 2022 |
| (FAA) Research, Engineering, and Development Advisory Committee (REDAC); Revitalization Membership Plan (comments due 12/31/2022) | Requests for Information | The Federal Aviation Administration (FAA) is seeking members for its Research, Engineering, and Development Advisory Committee (REDAC). The desired stakeholder groups represented on the REDAC include individuals with expertise and knowledge of industry trends in areas including digital systems and technologies, which includes AI and machine learning. Published as Federal Register Notice 87 FR 63571, with nominations due December 31, 2022. | 10/19/2022 | 2022 |
| (DHS) Cooperative Research and Development Agreement-Artificial Intelligence (AI) Detection With Coast Guard Optical Sensors (comments due 12/02/2022) | Requests for Information | The Coast Guard seeks public comments about its proposal to enter in a cooperative research and development agreement with companies to evaluate autonomous detection and tracking systems to determine its potential use in Search and Rescue planning. Published as Federal Register Notice 87 FR 66204, with comments due December 2, 2022. | 11/12/2022 | 2022 |
| DOE AI Risk Management Playbook (AIRMP) |
Scientific and Technical Reports | The Department of Energy published this guide for AI risk identification and mitigations to support responsible and trustworthy AI use and development. | 08/15/2022 | 2022 |
| (NSTC) NITRD and NAIIO Supplement to the President’s FY2023 Budget | AI Budget | This document is a supplement to the President’s FY2023 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 FY2023 by the Federal agencies participating in the NITRD Program. | 11/29/2022 | 2022 |
| (DOE) Accelerating Innovations in Emerging Technologies (comments due 12/23/2022) | Requests for Information | The Office of Science in the Department of Energy (DOE) invites interested parties to provide input relevant to developing approaches for accelerating innovations in emerging technologies to drive scientific discovery to sustainable production of new technologies across the innovation continuum; train a science, technology, engineering, and mathematics (STEM) workforce to support 21st century industries; and meet the nation’s needs for abundant clean energy, a sustainable environment, and national security. Published as Federal Register Notice 87 FR 67459, with comments due December 23, 2022. | 11/08/2022 | 2022 |
| (SEC) Outsourcing by Investment Advisers (comments due 12/27/2022) | Requests for Information | The Securities and Exchange Commission (“Commission” or “SEC”) is proposing a new rule under the Investment Advisers Act of 1940 (“Advisers Act”) to prohibit registered investment advisers (“advisers”) from outsourcing certain services or functions without first meeting minimum requirement. Among other questions, this proposed rule seeks comments on whether the proposed rule is sufficiently clear in how it applies when technology, such as artificial intelligence, is used as part of advisory services. Comments due December 27, 2022. Published as Federal Register Notice 87 FR 68816, with comments due December 27, 2022. | 11/16/2022 | 2022 |
| (CMS/HHS) Medicare Program: Hospital Outpatient Prospective Payment and Ambulatory Surgical Center Payment Systems and Quality Reporting Programs (comments due 01/03/2023) | Requests for Information | The Securities and Exchange Commission (“Commission” or “SEC”) is proposing a new rule under the Investment Advisers Act of 1940 (“Advisers Act”) to prohibit registered investment advisers (“advisers”) from outsourcing certain services or functions without first meeting minimum requirement. Among other questions, this proposed rule seeks comments on whether the proposed rule is sufficiently clear in how it applies when technology, such as artificial intelligence, is used as part of advisory services. Published as Federal Register Notice 87 FR 71748, with comments due January 03, 2023. | 11/23/2022 | 2022 |
| (EEOC) Draft Strategic Enforcement Plan (comments due 02/09/2023) | Requests for Information | The U.S. Equal Employment Opportunity Commission (EEOC) seeks public comments on a Draft Strategic Enforcement Plan (SEP) for 2023-2027 as part of its strategic planning process. This SEP recognizes employers’ increasing use of automated systems, including artificial intelligence or machine learning, to target job advertisements, recruit applicants, and make or assist in hiring decisions. Comments due by February 9, 2023. Published as Federal Register Notice 88 FR 1379, with comments due February 9, 2023. | 01/10/2023 | 2023 |
| The Impact of Artificial Intelligence on the Future of Workforces in the European Union and the United States of America (CEA) | Scientific and Technical Reports | As part of the US-EU Trade and Technology Council, the White House Council of Economic Advisers and the European Commission developed a joint economic study examining the impact of AI on the future of our workforces, with attention to outcomes in employment, wages, and the dispersion of labor market opportunities. | 12/05/2022 | 2022 |
| (FDA) Medical Devices; Gastroenterology-Urology Devices; Classification of the Gastrointestinal Lesion Software Detection System (comments due 01/03/2023) | Requests for Information | The Food and Drug Administration (FDA) is classifying the gastrointestinal lesion software detection system into class II, requiring special controls. The applicable special controls are identified in the order and will be part of the codified language for the gastrointestinal lesion software detection system’s classification. The FDA has determined this classification will provide a reasonable assurance of safety and effectiveness of the device, and also enhance patients’ access to beneficial innovative devices. Published as Federal Register Notice 88 FR 8, with comments due January 3, 2023. | 01/03/2023 | 2023 |
| Strengthening and Democratizing the U.S. Artificial Intelligence Innovation Ecosystem: An Implementation Plan for a National Artificial Intelligence Research Resource | Roadmap; Implementation Plan; Strategy Documents | This final report of the National AI Research Resource (NAIRR) Task Force presents a roadmap and implementation plan for a national cyberinfrastructure that would connect America’s research community to the computational, data, and testbed resources that fuel AI research through a user-friendly interface and associated training and user support. Aimed at strengthening and democratizing the U.S. AI innovation ecosystem in a way that protects privacy, civil rights, and civil liberties, the proposed NAIRR would help cultivate an AI research community and workforce that reflects America’s rich diversity and harness AI in a manner that serves all Americans. | 01/24/2023 | 2023 |
| (DOC/NIST) AI Risk Management Framework | Ethical Principles | The National Institute of Standards and Technology (NIST) has developed a framework to better manage risks to individuals, organizations, and society associated with AI. The NIST AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems. | 01/26/2023 | 2023 |