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

This report discusses ways that artificial intelligence could potentially automate manual tasks and relieve human labor. However, the authors recognize this shift would displace the livelihoods of millions of Americans. The pros and cons of artificial intelligence on the economy is discussed.

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.

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.

This report discuses research and development of artificial intelligence (AI) applications for the military, their potential uses, and the programs of competing nations such as China and Russia.

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.

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

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

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.

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.

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

Report by the Joint Research Centre (JRC) in the context of AI Watch analyzing the evolution of artificial intelligence (AI) technologies. Includes the historical evolution of AI and a comparison between the phases of its evolution.

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

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.

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 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 detailing the activities of the United Nations regarding Artificial Intelligence (AI) toward their Sustainable Development Goals (SDGs).

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.

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.

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.

This report highlights the increasing prevalence and potential of artificial intelligence (AI) technologies in various aspects of life, projecting a significant impact on the global economy by 2030. However, it also addresses concerns regarding the potential misuse of AI, such as infringing on human rights and exacerbating biases. USAID's AI Action Plan emphasizes responsible AI use, advocating for inclusive development and equitable application while prioritizing the strengthening of digital ecosystems and fostering global partnerships to shape a responsible AI agenda.

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

This report documents the proceedings and results from the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop. The goals of this workshop were to explore more radically and aggressively advance prediction capabilities in the climate, Earth, and environmental sciences through the use of modern data analytics and artificial intelligence.