Intentional machines: A defence of trust in medical artificial intelligence

Starke, Georg and van den Brule, Rik and Elger, Bernice Simone and Haselager, Pim. (2021) Intentional machines: A defence of trust in medical artificial intelligence. Bioethics, 36 (2). pp. 154-161.

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Official URL: https://edoc.unibas.ch/83750/

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Trust constitutes a fundamental strategy to deal with risks and uncertainty in complex societies. In line with the vast literature stressing the importance of trust in doctor-patient relationships, trust is therefore regularly suggested as a way of dealing with the risks of medical artificial intelligence (AI). Yet, this approach has come under charge from different angles. At least two lines of thought can be distinguished: (1) that trusting AI is conceptually confused, that is, that we cannot trust AI; and (2) that it is also dangerous, that is, that we should not trust AI-particularly if the stakes are as high as they routinely are in medicine. In this paper, we aim to defend a notion of trust in the context of medical AI against both charges. To do so, we highlight the technically mediated intentions manifest in AI systems, rendering trust a conceptually plausible stance for dealing with them. Based on literature from human-robot interactions, psychology and sociology, we then propose a novel model to analyse notions of trust, distinguishing between three aspects: reliability, competence, and intentions. We discuss each aspect and make suggestions regarding how medical AI may become worthy of our trust.
Faculties and Departments:08 Cross-disciplinary Subjects > Ethik > Institut für Bio- und Medizinethik > Bio- und Medizinethik (Elger)
03 Faculty of Medicine > Departement Public Health > Ethik in der Medizin > Bio- und Medizinethik (Elger)
UniBasel Contributors:Starke, Georg and Elger, Bernice Simone
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:John Wiley & Sons Ltd.
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:28 Jan 2022 15:57
Deposited On:28 Jan 2022 15:57

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