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Acquisition and Use of Artificial Intelligence and Machine Learning Technologies by DHS Components

Description: 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.
Partner: UNT Libraries Government Documents Department
open access

Artificial Intelligence (AI) Mission Focused Subcommittee Final Report

Description: 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.
Partner: UNT Libraries Government Documents Department
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Final Report of the Emerging Technologies Subcommittee - AI and Machine Learning

Description: This report asserts that the accelerated pace of the technological change in today's global research and development ecosystem is creating both risks and opportunities in the Department of Homeland Security's (DHS) mission domain. To assist the DHS in forecasting both threats and opportunities, work with partners, and improve the ability of DHS components to execute mission critical objectives, the Secretary chartered the Emerging Technologies Subcommittee of the Homeland Security Advisory Coun… more
Date: November 14, 2019
Creator: Allen, Thad; Lanier, Cathy; Rose, Robert; Carrick, Patrick; Cilluffo, Frank; Dannels, Mark et al.
Partner: UNT Libraries Government Documents Department
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The Current State of Artificial Intelligence in Disaster Recovery: Challenges, Opportunities, and Future Directions

Description: This report explored the potential of artificial intelligence (AI) in disaster response and environmental remediation by providing a historical overview, conducting a meta-analysis of related literature, identifying natural language processing (NLP) and image analysis as key research areas, and presenting conceptual examples of AI's potential applications.
Date: August 2023
Creator: Boe, Tiimothy & Sayles, Gregory
Partner: UNT Libraries Government Documents Department
open access

Center for Drug Evaluation and Research: Artificial Intelligence in Drug Manufacturing

Description: This report discusses FDA's consideration of the application of its risk-based regulatory framework to the use of AI technologies in drug manufacturing. The authors of the report ask the public to provide feedback after reading this report.
Date: February 28, 2023
Creator: United States. Food and Drug Administration.
Partner: UNT Libraries Government Documents Department
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Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD)-Discussion Paper and Request for Feedback

Description: This report discusses a proposed framework for modifications to AI/ML-based SaMD that is based on the internally harmonized International Medical Device Regulators Forum risk categorization principles, FDA's benfit-risk framework, risk management principles in the software modifications guidance, and the organization-based TPLC approach as envisioned in the Digital health Software Precertification Program. The authors ask for public feedback about the questions posed in the report.
Date: January 2021
Creator: United States. Food and Drug Administration.
Partner: UNT Libraries Government Documents Department
open access

Guidelines for secure AI system development

Description: This report recommends guidelines for providers of any systems that use artificial intelligence. This content is aimed primarily at providers of AI systems who are using models hosted by an organization, or are using external application programming interfaces.
Date: November 27, 2023
Creator: Great Britain. Government Communications Headquarters (1948- ) National Cyber Security Centre
Partner: UNT Libraries Government Documents Department
open access

An Introduction to Artificial Intelligence for Federal Judges

Description: 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.
Date: February 13, 2023
Creator: Baker, James E.; Hobart, Laurie & Mittelsteadt, Matthew
Partner: UNT Libraries Government Documents Department
open access

Trusting AI: Integrating Artificial Intelligence into the Army's Professional Expert Knowledge

Description: This report asserts that integrating artificially intelligent technologies for military purposes poses a special challenge. The authors ask on what basis commanders, staffs, and operators can trust AI technologies and the systems they enable?
Date: February 8, 2023
Creator: Pfaff, C. Anthony; Lowrance, Christopher J.; Washburn, Bre M.; Carey, Brett A. & Evans, Carol V.
Partner: UNT Libraries Government Documents Department
open access

Enterprise Use of Artificial Intelligence and Machine Learning

Description: The objective of this report was to provide information on risks associated with Enterprise use of artificial intelligence and machine learning. The authors reviewed internal FHFA and Enterprise documents, as well as publicly available documents.
Date: September 19, 2022
Creator: United States. Federal Housing Finance Agency. Office of Inspector General
Partner: UNT Libraries Government Documents Department
open access

Generative Artificial Intelligence and the Creative Economy Staff Report: Perspectives and Takeaways

Description: This report summarizes the technological developments in AI and generative AI, explains the FTC's jurisdictional interest in AI, then summarizes and memorializes information provided by participants in a roundtable. It is intended as a useful resource for the legal, policy, and academic communities who are considering the implications of generative AI.
Date: December 2023
Creator: United States. Federal Trade Commission
Partner: UNT Libraries Government Documents Department
open access

Artificial Intelligence: Agencies Have Begun Implementation but Need to Complete Key Requirements: Report to Congressional Addresses [Accessible Version]

Description: In this report, GAO reviewed the implementation of AI at major federal agencies. It focused on agencies with government-wide roles in AI implementation as well as agencies with individual responsibilities for AI implementation.
Date: December 2023
Creator: United States. Government Accountability Office.
Partner: UNT Libraries Government Documents Department
open access

Artificial Intelligence: Agencies Have Begun Implementation but Need to Complete Key Requirements: Report to Congressional Addresses

Description: In this report, GAO reviewed the implementation of AI at major federal agencies. It focused on agencies with government-wide roles in AI implementation as well as agencies with individual responsibilities for AI implementation.
Date: December 2023
Creator: United States. Government Accountability Office.
Partner: UNT Libraries Government Documents Department
open access

Artificial Intelligence: Societal and Ethical Implications Hearing before the Committee on Science, Space, and Technology House of Representatives

Description: 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.
Date: June 26, 2019
Creator: United States. Congress. House. Committee on Science, Space, and Technology.
Partner: UNT Libraries Government Documents Department
open access

Artificial Intelligence Governance Toolkit: AI Community of Practice

Description: This report provides a framework that addresses privacy and governance at both the organizational and system levels. It provides suggestions for determining the right stakeholders to engage, and the types of privacy questions to ask at each phase of your development and deployment cycle.
Date: January 2022
Creator: United States. General Services Administration.
Partner: UNT Libraries Government Documents Department
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