| Literature DB >> 34809860 |
Navid Hasani1, Michael A Morris2, Arman Rhamim3, Ronald M Summers4, Elizabeth Jones4, Eliot Siegel5, Babak Saboury6.
Abstract
Trust in artificial intelligence (AI) by society and the development of trustworthy AI systems and ecosystems are critical for the progress and implementation of AI technology in medicine. With the growing use of AI in a variety of medical and imaging applications, it is more vital than ever to make these systems dependable and trustworthy. Fourteen core principles are considered in this article aiming to move the needle more closely to systems that are accurate, resilient, fair, explainable, safe, and transparent: toward trustworthy AI.Entities:
Keywords: Ethics of AI; Machine learning; Trustworthiness; Trustworthy artificial intelligence
Mesh:
Year: 2022 PMID: 34809860 PMCID: PMC8785402 DOI: 10.1016/j.cpet.2021.09.007
Source DB: PubMed Journal: PET Clin ISSN: 1556-8598