This report serves as a guide for CISA's AI-related efforts, ensuring both internal coherence as well as alignment with the whole-of-government AI strategy. It incorporates key CISA-led actions as directed by Executive Order 14110, along with additional actions CISA is leading to promote AI security and support critical infrastructure owners and operators as they navigate the adoption of AI.

This report is a policy statement that guides Department of Homeland Security (DHS) Operational and Support Components and directs actions that should be taken to establish policy and practices governing the acquisition and use of artificial intelligence and machine learning technology within the department.

This is a report about a series of workshops sponsored by the Department of Energy (DOE) to gather input on new and rapidly emerging opportunities and challenges of scientific AI. The members of the workshops believes that AI can have a foundational impact on a broad range of DOE missions, including science, energy, and national security.

This report discusses a set of ethical principles set by the Defense Innovation Board and recommended for adoption by the Secretary of Defense.

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.

This report provides the new Governor and Legislature with an AI policymaking agenda that revolves around public engagement, building a human infrastructure, attacking pressing social needs, and protecting core values including autonomy, responsibility, privacy, transparency, and accountability.

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.

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

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 describes how the United States Copyright Office is undertaking a study of the copyright law and policy issues raised by artificial intelligence systems.

This report provides background information on artificial intelligence and machine learning (AI/ML) and outlines a proposed framework to evaluate the safety of these technologies in consumer products. It outlines efforts underway and recommended future actions the CPSC can take to identify safety concerns with AI/ML technologies.

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.

"This report addresses the clear need for sharing knowledge and developing policies for “Artificial Intelligence,” a rapidly advancing class of foundational capabilities which are increasingly embedded in all types of educational technology systems and are also available to the public. We will consider “educational technology” (edtech) to include both (a) technologies specifically designed for educational use, as well as (b) general technologies that are widely used in educational settings. Recommendations in this report seek to engage teachers, educational leaders, policy makers, researchers, and educational technology innovators and providers as they work together on pressing policy issues that arise as Artificial Intelligence (AI) is used in education" (p. 1)

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 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 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.

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.

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 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 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.

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

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.

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