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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.
System:
The UNT Digital Library
Raising Awareness of Artificial Intelligence for Transportation Systems Management and Operations
This report provides guidance to assist transportation agencies with better preparation for the potential impacts of AI on operational activities, resources, system needs, and decisionmaking.
Date:
December 2019
Creator:
Gettman, Douglas
System:
The UNT Digital Library
Final Report of the Emerging Technologies Subcommittee - AI and Machine Learning
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 Council.
Date:
November 14, 2019
Creator:
Allen, Thad; Lanier, Cathy; Rose, Robert; Carrick, Patrick; Cilluffo, Frank; Dannels, Mark et al.
System:
The UNT Digital Library
National Security Commission on Artificial Intelligence: Interim Report, November 2019
Report presenting the National Security Commission on Artificial Intelligence's initial (NSCAI)'s preliminary assessment of artificial intelligence (AI). It discusses NSCAI's definition of AI, the challenges and context around it, where the U.S. Government can apply it, considerations on ethical and trustworhy AI, and associated technologies.
Date:
November 2019
Creator:
National Security Commission on Artificial Intelligence (U.S.)
System:
The UNT Digital Library
National Security Commission on Artificial Intelligence: Initial Report
A brief report summarizing the National Security Commission on Artificial Intelligence's activities, meetings, relationships with the U.S. Government, industry, and academia, early substantive assessments, commission staff, and next steps.
Date:
July 31, 2019
Creator:
National Security Commission on Artificial Intelligence (U.S.)
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.
System:
The UNT Digital Library
Summary of the 2018 Department of Defense Artificial Intelligence Strategy: Harnessing AI to Advance our Security and Prosperity
This report details the summary of the 2018 Department of Defense (DoD) Artificial Intelligence Strategy, which directs the DoD to accelerate the adoption of AI and the creation of a force fit for society.
Date:
2019
Creator:
United States. Department of Defense.
System:
The UNT Digital Library