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Defining the undefinable: the black box problem in healthcare artificial intelligence
  1. Jordan Joseph Wadden
  1. Department of Philosophy, The University of British Columbia, Vancouver, BC V6T 1Z1, Canada
  1. Correspondence to Jordan Joseph Wadden, Department of Philosophy, The University of British Columbia, Vancouver, BC V6T 1Z1, Canada; waddenjordan{at}gmail.com

Abstract

The ‘black box problem’ is a long-standing talking point in debates about artificial intelligence (AI). This is a significant point of tension between ethicists, programmers, clinicians and anyone else working on developing AI for healthcare applications. However, the precise definition of these systems are often left undefined, vague, unclear or are assumed to be standardised within AI circles. This leads to situations where individuals working on AI talk over each other and has been invoked in numerous debates between opaque and explainable systems. This paper proposes a coherent and clear definition for the black box problem to assist in future discussions about AI in healthcare. This is accomplished by synthesising various definitions in the literature and examining several criteria that can be extrapolated from these definitions.

  • ethics
  • clinical ethics
  • philosophy of medicine

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Footnotes

  • Contributors Jordan Joseph Wadden is the sole author of this manuscript.

  • Funding This study was funded by Social Sciences and Humanities Research Council of Canada Doctoral Fellowship 752-2020-2225.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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