Gaube, Susanne and Suresh, Harini and Raue, Martina and Merritt, Alexander and Berkowitz, Seth J. and Lermer, Eva and Coughlin, Joseph F. and Guttag, John V. and Colak, Errol and Ghassemi, Marzyeh (2021) Do as AI say: susceptibility in deployment of clinical decision-aids. NPJ DIGITAL MEDICINE, 4 (1): 31. ISSN 2398-6352,
Full text not available from this repository. (Request a copy)Abstract
Artificial intelligence (AI) models for decision support have been developed for clinical settings such as radiology, but little work evaluates the potential impact of such systems. In this study, physicians received chest X-rays and diagnostic advice, some of which was inaccurate, and were asked to evaluate advice quality and make diagnoses. All advice was generated by human experts, but some was labeled as coming from an AI system. As a group, radiologists rated advice as lower quality when it appeared to come from an AI system; physicians with less task-expertise did not. Diagnostic accuracy was significantly worse when participants received inaccurate advice, regardless of the purported source. This work raises important considerations for how advice, AI and non-AI, should be deployed in clinical environments.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ; |
| Subjects: | 100 Philosophy & psychology > 150 Psychology |
| Divisions: | Human Sciences > Institut für Psychologie > Lehrstuhl für Psychologie V (Sozial-, Arbeits- und Organisationspsychologie) - Prof. Dr. Peter Fischer |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 14 Sep 2022 09:55 |
| Last Modified: | 14 Sep 2022 09:55 |
| URI: | https://pred.uni-regensburg.de/id/eprint/47462 |
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