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Artificial Intelligence: An Accountability Framework for Federal Agenices and Other Entities

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

Artificial Intelligence: Emerging Opportunities, Challenges, and Implications

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

Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning in Drug Development

Description: 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 develop… more
Date: December 2019
Creator: United States. Government Accountability Office.
Partner: UNT Libraries Government Documents Department
open access

Science and Tech Spotlight: Deepfakes

Description: Document summarizing deepfake technology and highlighting opportunities, challenges, and policy questions related to the development of this technology.
Date: February 2020
Creator: United States. Government Accountability Office. Science, Technology Assessment, and Analytics.
Partner: UNT Libraries Government Documents Department
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