What Kind of Artificial Intelligence Should We Want for Use in Healthcare Decision-Making Applications?

Authors

  • Jordan Joseph Wadden Department of Philosophy, University of British Columbia; Ethics Services, Providence Health Care, British Columbia, Canada https://orcid.org/0000-0002-3636-8574

DOI:

https://doi.org/10.7202/1077636ar

Keywords:

artificial intelligence, clinical decision-making, grey box, explainability, opaque systems

Language(s):

English

Abstract

The prospect of including artificial intelligence (AI) in clinical decision-making is an exciting next step for some areas of healthcare. This article provides an analysis of the available kinds of AI systems, focusing on macro-level characteristics. This includes examining the strengths and weaknesses of opaque systems and fully explainable systems. Ultimately, the article argues that “grey box” systems, which include some combination of opacity and transparency, ought to be used in healthcare settings.

Open issue, (c) Han Han Li

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Published

2021-06-01

How to Cite

[1]
Wadden JJ. What Kind of Artificial Intelligence Should We Want for Use in Healthcare Decision-Making Applications?. Can. J. Bioeth 2021;4:94-100. https://doi.org/10.7202/1077636ar.

Issue

Vol. 4 No. 1 (2021): Open Issue

Section

Critical commentaries

License

Copyright (c) 2021 Jordan Joseph Wadden

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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