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Diverse Patients’ Attitudes Towards Artificial Intelligence (Ai) In Diagnosis, Christopher Robertson, Andrew Woods, Kelly Bergstrand, Jessica Findley, Cayley Balser, Marvin J. Slepian
Diverse Patients’ Attitudes Towards Artificial Intelligence (Ai) In Diagnosis, Christopher Robertson, Andrew Woods, Kelly Bergstrand, Jessica Findley, Cayley Balser, Marvin J. Slepian
Faculty Scholarship
Artificial intelligence (AI) has the potential to improve diagnostic accuracy. Yet people are often reluctant to trust automated systems, and some patient populations may be particularly distrusting. We sought to determine how diverse patient populations feel about the use of AI diagnostic tools, and whether framing and informing the choice affects uptake. To construct and pretest our materials, we conducted structured interviews with a diverse set of actual patients. We then conducted a pre-registered (osf.io/9y26x), randomized, blinded survey experiment in factorial design. A survey firm provided n = 2675 responses, oversampling minoritized populations. Clinical vignettes were randomly manipulated in eight …