Litcius/Paper detail

Trust does not need to be human: it is possible to trust medical AI

Andrea Ferrario, Michele Loi, Eleonora Viganò

2020Journal of Medical Ethics54 citationsDOIOpen Access PDF

Abstract

In his recent article 'Limits of trust in medical AI,' Hatherley argues that, if we believe that the motivations that are usually recognised as relevant for interpersonal trust have to be applied to interactions between humans and medical artificial intelligence, then these systems do not appear to be the appropriate objects of trust. In this response, we argue that it is possible to discuss trust in medical artificial intelligence (AI), if one refrains from simply assuming that trust describes human-human interactions. To do so, we consider an account of trust that distinguishes trust from reliance in a way that is compatible with trusting non-human agents. In this account, to trust a medical AI is to rely on it with little monitoring and control of the elements that make it trustworthy. This attitude does not imply specific properties in the AI system that in fact only humans can have. This account of trust is applicable, in particular, to all cases where a physician relies on the medical AI predictions to support his or her decision making.

Topics & Concepts

TrustworthinessComputer scienceExpress trustInterpersonal communicationInterpersonal relationshipComputational trustControl (management)PsychologyInternet privacyKnowledge managementArtificial intelligenceSocial psychologyPublic relationsLawPolitical scienceReputationArtificial Intelligence in Healthcare and EducationNeuroethics, Human Enhancement, Biomedical InnovationsEthics and Social Impacts of AI