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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 and Copyright

Description: 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.
Date: August 30, 2023
Creator: Wilson, Suzanne V. & Strong, Maria
Partner: UNT Libraries Government Documents Department
open access

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

S&T Artificial Intelligence & Machine Learning Strategic Plan

Description: 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.
Date: August 2021
Creator: United States. Department of Homeland Security. Science and Technology Directorate
Partner: UNT Libraries Government Documents Department
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