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.

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

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

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.

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.

This is the final report of the National AI Research Resource (NAIRR) task force, where they present a roadmap and implementation plan for a national cyberinfrastructure aimed at overcoming the access divide, reaping the benefits of greater brain power and more diverse perspectives and experiences applied to developing the future of AI technology and its role in society. The NAIRR also took the opportunity during their research to set the standards for responsible AI research practices and governance processes that uphold their priority to develop and harness their researched technologies in a manner that reinforces national democratic values and Americans' personal freedoms.

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.

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 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.

This report addresses questions related to Artificial Intelligence in the judicial process by providing some technical background and highlighting potential legal issues. It also identifies core concepts and issues to assist judges in asking questions related to AI.

This report provides guidance to assist transportation agencies with better preparation for the potential impacts of AI on operational activities, resources, system needs, and decisionmaking.

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.

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.

"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).

This report details a hearing by the Science, Space, and Technology Committee to discuss the impact of AI on society and the ethical implications in the design and use of this technology.

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

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

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.