Report discussing research related to the use of Artificial Intelligence (AI) in school systems. The authors implore federal, state, and district policymakers to slow down and restrict the implementation of AI in schools until proper research has been completed and ethical concerns are addressed.

Report providing a background on artificial intelligence (AI), recent advances, benefits and risks of AI tools. current federal laws addressing AI, perspectives on regulating AI, and other considerations for the 118th Congress.

Report containing an overview of artificial intelligence (AI), recent growth in the field of AI, federal activity in AI (i.e., Executive Branch and Congress), and selected issues for congressional consideration to assist Congress in its work on AI.

Report establishing the foundation of the National Artificial Intelligence Research Resource (NAIRR) as well as initial findings from research requested by Congress.

Report studying potential human rights issues that could arise from the everyday use of artificial intelligence (AI).

Report explaining some of the potential risks associated with the future of artificial intelligence (AI) advancements to advise the U.S. President and the White House National AI Initiative Office (NAIIO).

Report detailing the discussion in a meeting of experts and representatives from international organizations on the topic of ethical concerns of using Big Data and Artificial Intelligence (AI) in healthcare. Includes a list of participants and the meeting's agenda.

This report outlines a framework for risk management in the context of artifiical intelligence including people, processes, infrastructure, and data.

White House Office of Science and Technology Policy has identified five principles that should guide the design, use, and deployment of automated systems to protect the American public in the age of artificial intelligence. The Blueprint for an AI Bill of Rights is a guide for a society that protects all people from these threats--and uses technologies in ways that reinforce our highest values. Responding to the experiences of the American public, and informed by insights from researchers, technologists, advocates, journalists, and policymakers, this framework is accompanied by a technical companion--a handbook for anyone seeking to incorporate these protections into policy and practice, including detailed steps toward actualizing these principles in the technological design process. These principles help provide guidance whenever automated systems can meaningfully impact the public's rights, opportunities, or access to critical needs

This report describes an accountability framework for artificial intelligence (AI). The framework is organized around four complementary principles and describes key practices for federal agencies and other entities that are considering and implementing AI systems. Each practice includes a set of questions for entities, auditors, and third-party assessors to consider, along with audit procedures and types of evidence for auditors and third-party assessors to collect.

Report discussing currently available machine learning (ML) medical diagnostic technologies for five selected diseases, emerging ML medical diagnostic technologies, challenges affecting the development and adoption of ML technologies for medical diagnosis, and policy options to help address challenges in the use of artificial intelligence (AI) technologies in health care (Part One). Part Two presents a framework for evaluating and promoting provider adoption of new AI-assisted diagnostic decision support tools (AI-DDS), centered on four integrated domains: 1) Reason to Use, 2) Means to Use, 3) Methods to Use, and 4) Desire to Use.

Report representing the results of a Comptroller General forum on recent developments in the area of artificial intelligence (AI) - and key implications regarding potential benefits, challenges to realizing these benefits, and resulting policy implications and research priorities.

Statement discussing the evolution of artificial intelligence (AI) over time, the potential future opportunities and risks of AI, and the future implications of AI on policies and research priorities.

Artificial intelligence and machine learning (AI/ML) is a set of technologies that includes automated systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, and decision-making. AI/ML has promising applications in health care, including drug development. For example, it may have the potential to help identify new treatments, reduce failure rates in clinical trials, and generally result in a more efficient and effective drug development process. However, applying AI/ML technologies within the health care system also raises ethical, legal, economic, and social questions. GAO was asked to conduct a technology assessment on the use of AI technologies in drug development with an emphasis on foresight and policy implications. This report discusses (1) current and emerging AI technologies available for drug development and their potential benefits; (2) challenges to the development and adoption of these technologies; and (3) policy options to address challenges to the use of machine learning in drug development. -- from Foreword

Document summarizing deepfake technology and highlighting opportunities, challenges, and policy questions related to the development of this technology.

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

Final report presenting the National Security Commission for Artificial Intelligence (NSCAI)'s recommendations for winning the AI era. It includes a 16 chapter Main Report and "Blueprints for Action that outline the concrete steps departments and agencies can take to implement NSCAI's recommendations." - Introduction.

A report containing the National Security Commission on Artificial Intelligence (NSCAI)'s third quarterly memo and second interim report with 66 recommendations in key areas. They are organized under five tabs: strengthening the triangular alliance for AI research, applying AI for national security missions, training and recruiting AI talent, protecting and building upon U.S. technology advances, and marshaling global AI cooperation & ethics.

Report presenting the National Security Commission on Artificial Intelligence's initial (NSCAI)'s preliminary assessment of artificial intelligence (AI). It discusses NSCAI's definition of AI, the challenges and context around it, where the U.S. Government can apply it, considerations on ethical and trustworhy AI, and associated technologies.

A brief report summarizing the National Security Commission on Artificial Intelligence's activities, meetings, relationships with the U.S. Government, industry, and academia, early substantive assessments, commission staff, and next steps.

White paper authored by three members of the National Security Commission on Artificial Intelligence to address AI-related aspects of the COVID-19 pandemic response and the implications of the crisis for America's security and strategic competitiveness. It offers five themed recommendations to use AI to reopen, assess, preserve, screen, and return the U.S.'s economic and national security concerns during and after the pandemic.

A quarterly report detailing recommendations for areas identified in most need of attention, ripe for action, or foundational to AI and national security. They are grouped into seven tabs: increasing AI R&D investments, accelerating AI application in Department of Defense, strengthening AI workforce, promoting US leadership in AI hardware & 5G, improving cooperation among key allies and partners, advancing ethical and responsible AI, and threat analysis and recommended actions. The recommendation under each tab are presented in discrete memos for AI-national security dimensions.

The first of three white papers authored by members of the National Security Commission on Artificial Intelligence (NSCAI) on harnessing data and computing technologies to mitigate the COVID-19 pandemic. The report analyzes how computing applications can supplement the United States' manual contract tracing efforts and recommends privacy and ethics considerations in developing and fielding these applications.

This report discusses artificial intelligence in education, including current applications, benefits and drawbacks, and policy considerations.