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A Matter of Trust: Principles to Ethically Assess AI in Health Care

  • Santa Clara University

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In this article, we focus on questions of agency in emerging technologies related to decision-making in medicine. We discuss three principles that were subsumed when bioethics embraced principlism: consent, confidentiality, and veracity. We argue that the advent of artificial intelligence and its employment within health care, impacts the physician-patient relationship in a way that its inclusion in other areas does not. In particular, we take up ethical dilemmas caused by AI related to trust, and illustrate how reflection on these subsumed principles helps to critique accurately policies related to the use of AI in health care and to navigate dilemmas associated with a loss of trust. We conclude by contrasting these principles with the proposed “five principles” system for AI, highlighting some areas of agreement, but also showing where consent, confidentiality, and veracity are necessary additions for ethically employing AI.

Original languageEnglish
Pages (from-to)428-439
Number of pages12
JournalJournal of Medicine and Philosophy (United Kingdom)
Volume50
Issue number6
DOIs
StatePublished - 1 Dec 2025

Keywords

  • artificial intelligence
  • confidentiality
  • consent
  • principlism
  • veracity

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