Print Email Facebook Twitter Trust in Clinical AI Title Trust in Clinical AI: Expanding the Unit of Analysis Author Browne, J.T. (TU Delft Methodologie en Organisatie van Design; Philips Research) Bakker, Saskia (Philips Research) Yu, Bin (Philips Research) Lloyd, P.A. (TU Delft Methodologie en Organisatie van Design) Ben Allouch, Somaya (Hogeschool van Amsterdam; Universiteit van Amsterdam) Contributor Schlobach, Stefan (editor) Perez-Ortiz, Maria (editor) Tielman, Myrthe (editor) Date 2022 Abstract From diagnosis to patient scheduling, AI is increasingly being considered across different clinical applications. Despite increasingly powerful clinical AI, uptake into actual clinical workflows remains limited. One of the major challenges is developing appropriate trust with clinicians. In this paper, we investigate trust in clinical AI in a wider perspective beyond user interactions with the AI. We offer several points in the clinical AI development, usage, and monitoring process that can have a significant impact on trust. We argue that the calibration of trust in AI should go beyond explainable AI and focus on the entire process of clinical AI deployment. We illustrate our argument with case studies from practitioners implementing clinical AI in practice to show how trust can be affected by different stages in the deployment cycle. Subject Artificial IntelligenceClinical AITrustTrust Calibration To reference this document use: http://resolver.tudelft.nl/uuid:46dc9fe4-6192-49fb-b094-c835067bc7e4 DOI https://doi.org/10.3233/FAIA220192 Publisher IOS Press ISBN 9781643683089 Source HHAI2022: Augmenting Human Intellect - Proceedings of the 1st International Conference on Hybrid Human-Artificial Intelligence Event 1st International Conference on Hybrid Human-Artificial Intelligence, HHAI 2022, 2022-06-13 → 2022-06-17, Amsterdam, Netherlands Series Frontiers in Artificial Intelligence and Applications, 0922-6389, 354 Part of collection Institutional Repository Document type conference paper Rights © 2022 J.T. Browne, Saskia Bakker, Bin Yu, P.A. Lloyd, Somaya Ben Allouch Files PDF FAIA_354_FAIA220192.pdf 579.03 KB Close viewer /islandora/object/uuid:46dc9fe4-6192-49fb-b094-c835067bc7e4/datastream/OBJ/view