Should Physicians Take the Rap? Normative Analysis of Clinician Perspectives on Responsible Use of 'Black Box' AI Tools.

Journal: AJOB empirical bioethics
Published Date:

Abstract

BACKGROUND: Increasing interest in deploying artificial intelligence tools in clinical contexts has raised several ethical questions of both normative and empirical interest. One such question in the literature is whether "responsibility gaps" (r-gaps) are created when clinicians utilize or rely on such tools for providing care, and if so, what to do about them. These gaps are particularly likely to arise when using opaque, "black box" AI tools. Compared to normative and legal analysis of AI-generated responsibility gaps in health care, little is known, empirically, about health care providers views on this issue. The present study examines clinician perspectives on this issue in the context of black box AI decisional support systems (BBAI-DSS) in advanced heart failure.

Authors

  • Ben H Lang
    Department of Philosophy, Oxford University, Oxford, UK.
  • Kristin Kostick-Quenet
    Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, United States.
  • Jared N Smith
    Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas, USA.
  • Meghan Hurley
    Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas, USA.
  • Rita Dexter
    Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, Texas, USA.
  • Jennifer Blumenthal-Barby
    Baylor College of Medicine, Houston, TX, USA.

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