From theory to practice: Harmonizing taxonomies of trustworthy AI.

ABSTRACT: 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 considered responsible. Different trustworthy AI frameworks reflect the priorities and perspectives of different stakeholders, and there is no consensus on a single framework yet. We evaluate the leading frameworks and provide a holistic perspective on trustworthy AI values, allowing federal agencies to create agency-specific trustworthy AI strategies that account for unique institutional needs and priorities. We apply this approach to the Department of Veterans Affairs, an entity with largest health

SUBMITTER: Makridis CA 

PROVIDER: S-EPMC11532940 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature