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Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts
24
Zitationen
18
Autoren
2025
Jahr
Abstract
This paper advocates for a more refined and nuanced conceptual understanding of trust in the context of AI in health care. By synthesizing insights into commonalities and differences among specific case studies, this paper establishes a foundational basis for future debates and discussions on trusting AI in health care.
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Autoren
Institutionen
- Technical University of Munich(DE)
- École Polytechnique Fédérale de Lausanne(CH)
- University of Zurich(CH)
- Dalle Molle Institute for Artificial Intelligence Research(CH)
- University of Wollongong(AU)
- ZHAW Zurich University of Applied Sciences(CH)
- University of St. Gallen(CH)
- Utrecht University(NL)
- University Medical Center Utrecht(NL)
- Cal Humanities(US)
- University of Freiburg(DE)
- University of Mannheim(DE)
- University Medical Center Freiburg(DE)
- University of Edinburgh(GB)
- Wellcome Centre for Ethics and Humanities(GB)
- University of Oxford(GB)
- World Bank Group(US)
- Warsaw University of Technology(PL)
- University of Toronto(CA)
- Schwartz/Reisman Emergency Medicine Institute(CA)