This paper sets out an account of trust in AI as a relationship between clinicians, AI applications, and AI practitioners in which AI is given discretionary authority over medical questions by clinicians. Compared to other accounts in recent literature, this account more adequately explains the normative commitments created by practitioners when inviting clinicians’ trust in AI. To avoid committing to an account of trust in AI applications themselves, I sketch a reductive view on which discretionary authority is exercised by AI (...) practitioners through the vehicle of an AI application. I conclude with four critical questions based on the discretionary account to determine if trust in particular AI applications is sound, and a brief discussion of the possibility that the main roles of the physician could be replaced by AI. (shrink)

Trust is often perceived as having great value. For example, there is a strong belief that trust will bring different sorts of public goods and help us preserve common resources. A related concept which is just as important, but perhaps not explicitly discussed to the same extent as “trust”, is “reliance” or “confidence”. To be able to rely on some agent is often seen as a prerequisite for being able to trust this agent. Up to now, the conceptual discussion about (...) the definition of trust and reliance has been rational in the sense that most people involved have offered arguments for their respective views, or against competing views. While these arguments rely on some criterion or other, these criteria are rarely explicitly stated, and to our knowledge, no systematic account of such criteria has been offered. In this paper we give an account of what criteria we should use to assess tentative definitions of “trust” and “reliance”. We will also offer our own well-founded definitions of “trust” and “reliance”. Trust should be regarded as a kind of reliance and we defend what we call “the accountability view” of trust, by appealing to the desiderata we identify in the first parts of the paper. (shrink)