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.
- clinical ethics
- philosophy of medicine
Data availability statement
There are no data in this work.
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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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