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2023-2024 CISA Roadmap for Artificial Intelligence
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.
Date:
November 2023
Creator:
United States. Cybersecurity & Infrastructure Security Agency
Object Type:
Report
System:
The UNT Digital Library
Acquisition and Use of Artificial Intelligence and Machine Learning Technologies by DHS Components
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.
Date:
August 8, 2023
Creator:
Mayorkas, Alejandro N.
Object Type:
Report
System:
The UNT Digital Library
AI principles: Recommendations on the Ethical Use of Artificial Intelligence by the Department of Defense
This report discusses a set of ethical principles set by the Defense Innovation Board and recommended for adoption by the Secretary of Defense.
Date:
unknown
Creator:
United States. Department of Defense.
Object Type:
Report
System:
The UNT Digital Library
The AIM Initiative: A Strategy for Augmenting Intelligence Using Machines
Report ...
Date:
2019
Creator:
United States. Office of the Director of National Intelligence.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence: A Roadmap for California
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.
Date:
November 2018
Creator:
Nava, Pedro; Varner, Sean; Beier, David; Brigis, Iveta; Buiza, Cynthia; Cannella, Anthony et al.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence (AI) and Education
This report discusses artificial intelligence in education, including current applications, benefits and drawbacks, and policy considerations.
Date:
August 1, 2018
Creator:
Joyce, J. Lu. & Harris, Laurie A.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence (AI) Mission Focused Subcommittee Final Report
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.
Date:
September 14, 2023
Creator:
Andreessen, Marc; Barrett, Tarika; Chertoff, Michael; Isom, Robert; Shortal, Matt; Stephen, Craig et al.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence: An Accountability Framework for Federal Agenices and Other Entities
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.
Date:
June 2021
Creator:
United States. Government Accountability Office.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence and National Security
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.
Date:
April 26, 2018
Creator:
Hoadley, Daniel S. & Lucas, Nathan J.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence, Automation, and the Economy
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.
Date:
December 2016
Creator:
Council of Economic Advisors
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence: Background, Selected Issues, and Policy Considerations
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.
Date:
May 19, 2021
Creator:
Harris, Laurie A.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence: Emerging Opportunities, Challenges, and Implications
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.
Date:
March 2018
Creator:
United States. Government Accountability Office.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence: Emerging Opportunities, Challenges, and Implications for Policy and Research
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.
Date:
June 26, 2018
Creator:
Persons, Timothy M.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence Ethics Framework for the Intelligence Community
This report is a guide that outlines artificial intelligence ethics for the intelligence community.
Date:
June 2020
Creator:
United States Intelligence Community
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning in Drug Development
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
Date:
December 2019
Creator:
United States. Government Accountability Office.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning Technologies for Medical Diagnostics
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.
Date:
September 2022
Creator:
United States. Government Accountability Office.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence: Overview, Recent Advances, and Considerations for the 118th Congress
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.
Date:
August 4, 2023
Creator:
Harris, Laurie A.
Object Type:
Report
System:
The UNT Digital Library
Artificial Intelligence Risk Management Framework (AI RMF 1.0)
This report outlines a framework for risk management in the context of artifiical intelligence including people, processes, infrastructure, and data.
Date:
January 2023
Creator:
National Institute of Standards and Technology (U.S.)
Object Type:
Report
System:
The UNT Digital Library
Big Data and Artificial Intelligence for Achieving Universal Health Coverage: An International Consultation on Ethics
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.
Date:
2018
Creator:
World Health Organization
Object Type:
Report
System:
The UNT Digital Library
Blueprint for an AI Bill of Rights: Making Automated Systems Work for the American People
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
Date:
October 2022
Creator:
United States. Office of Science and Technology Policy
Object Type:
Report
System:
The UNT Digital Library
Charter of the Select Committee on Artificial Intelligence
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.
Date:
January 15, 2021
Creator:
Select Committee on Artificial Intelligence
Object Type:
Report
System:
The UNT Digital Library
Data, Analytics, and Artificial Intelligence Adoption Strategy: Accelerating Decision Advantage
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.
Date:
June 27, 2023
Creator:
United States. Department of Defense.
Object Type:
Report
System:
The UNT Digital Library
Envisioning a National Artificial Intelligence Research Resource (NAIRR): Preliminary Findings and Recommendations: An Interim Report by the NAIRR Task Force
Report establishing the foundation of the National Artificial Intelligence Research Resource (NAIRR) as well as initial findings from research requested by Congress.
Date:
May 2022
Creator:
United States. National Science Foundation. National Artificial Intelligence Research Resource
Object Type:
Report
System:
The UNT Digital Library
Exploratory Advanced Research Program: The Role of Artificial Intelligence and Machine Learning in Federally Supported Surface Transportation Initiatives
This report details the role of artificial intelligence in the context of federally supported surface transportation initiatives.
Date:
2018
Creator:
Exploratory Advanced Research Program (U.S.)
Object Type:
Report
System:
The UNT Digital Library