Big Data and Artificial Intelligence for Achieving Universal Health Coverage: An International Consultation on Ethics

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Report detailing the discussion in a meeting of experts and representatives from international organizations on the topic of ethical concerns of using Big Data and Artificial Intelligence (AI) in healthcare. Includes a list of participants and the meeting's agenda.

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16 p.

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World Health Organization 2018.

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This report is part of the collection entitled: Artificial Intelligence (AI) Policy Collection and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

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  • Main Title: Big Data and Artificial Intelligence for Achieving Universal Health Coverage: An International Consultation on Ethics
  • Added Title: Meeting Report

Description

Report detailing the discussion in a meeting of experts and representatives from international organizations on the topic of ethical concerns of using Big Data and Artificial Intelligence (AI) in healthcare. Includes a list of participants and the meeting's agenda.

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16 p.

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Artificial Intelligence (AI) Policy Collection

The Artificial Intelligence (AI) Policy Collection contains open access resources that provide policy overviews, implementation plans, guiding frameworks, and resources for implementing artificial intelligence and machine learning in a wide range of environments. This collection includes documents published by Federal agencies, non-governmental organizations, international, state, and local governments.

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  • 2018

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  • March 6, 2024, 5:35 a.m.

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  • April 24, 2024, 9:21 a.m.

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Thumbnail image of item number 1 in: 'Big Data and Artificial Intelligence for Achieving Universal Health Coverage: An International Consultation on Ethics'.
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World Health Organization. Big Data and Artificial Intelligence for Achieving Universal Health Coverage: An International Consultation on Ethics, report, 2018; Geneva, Switzerland. (https://digital.library.unt.edu/ark:/67531/metadc2289477/: accessed May 25, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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