Artificial Intelligence (AI) Policy Collection - 7 Matching Results

Search Results

Results: 1 - 7
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.
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Artificial Intelligence for Earth System Predictability: 2021 Workshop Report

Description: 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.
Date: September 1, 2022
Creator: Hickmon, Nicki; Varadharajan, Charuleka; Hoffman, Forrest; Wainwright, Haruko & Collis, Scott
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
open access

Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning Technologies for Medical Diagnostics

Description: 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 decisi… more
Date: September 2022
Creator: United States. Government Accountability Office.
Item Type: Refine your search to only Report
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
Item Type: Refine your search to only Report
Partner: UNT Libraries Government Documents Department
Back to Top of Screen