From theory to practice: Harmonizing taxonomies of trustworthy AI

From theory to practice: Harmonizing taxonomies of trustworthy AI

The increasing capabilities of AI pose new risks and vulnerabilities for organizations and decision makers. Several trustworthy AI frameworks have been created by U.S. federal agencies and international organizations to outline the principles to which AI systems must adhere for their use to be consi...

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Bibliographic Details
Main Authors: Christos A. Makridis, Joshua Mueller, Theo Tiffany, Andrew A. Borkowski, John Zachary, Gil Alterovitz
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Health Policy Open
Subjects:
Artificial intelligence
Ethics
Policy
Government
Trustworthy AI
Online Access:http://www.sciencedirect.com/science/article/pii/S2590229624000133

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http://www.sciencedirect.com/science/article/pii/S2590229624000133

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