Affordable Access

Publisher Website

Intentional machines: A defence of trust in medical artificial intelligence.

Authors
  • Starke, Georg1
  • van den Brule, Rik2, 3
  • Elger, Bernice Simone1, 4
  • Haselager, Pim2
  • 1 Institute for Biomedical Ethics, University of Basel, Basel, Switzerland. , (Switzerland)
  • 2 Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, The Netherlands. , (Netherlands)
  • 3 Behavioral Science Institute, Radboud University, Nijmegen, The Netherlands. , (Netherlands)
  • 4 University Center of Legal Medicine, University of Geneva, Geneva, Switzerland. , (Switzerland)
Type
Published Article
Journal
Bioethics
Publication Date
Feb 01, 2022
Volume
36
Issue
2
Pages
154–161
Identifiers
DOI: 10.1111/bioe.12891
PMID: 34142373
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

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. © 2021 John Wiley & Sons Ltd.

Report this publication

Statistics

Seen <100 times