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.

This report is a guide that outlines artificial intelligence ethics for the intelligence community.

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 report details the creation of the Select Committee on Artificial Intelligence, chartered by action of the National Science and Technology Council (NSTC). The purpose of the Select Committee is to advise and assist the NSTC to improve the overall effectiveness and productivity of Federal research and development, demonstration, and education and workforce development efforts related to artificial intelligence.

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 presents goals that will enable the Science and Technology Directorate to conduct artificial intelligence and machine learning research, development, test, and evaluation activities to support DHS mission needs.

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

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.

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

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.

"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 discusses how the Department of Defense has been investing in artificial intelligence and responsibly fielding data- and AI-enabled systems for over 60 years, and it seeks to guide decentralized action across DoD, inspires campaigns of learning, and leverages all our people, processes, and enabling technologies.

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 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 report details the creation and intentions of the Artificial Intelligence (AI) Mission Focused Subcommittee. The subcommittee asserts that if utilized in an ethical, informed, and responsible manner, AI/ML systems have the ability to improve transportation security, accelerate migrant processing timelines, bolster the functioning of supply chains, intercept illicit contraband , and more.

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).

This report discusses recommendations to the presidential administration about generative artificial intelligence. The report further discusses the importance of acknowledging "off-frontier" generative AI systems in order to have a clear understanding of the potential risks posed by these more widely available generative AI systems.

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.