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Identifying Ethical Considerations for Machine Learning Healthcare Applications.
- Source :
- American Journal of Bioethics; Nov2020, Vol. 20 Issue 11, p7-17, 11p, 1 Diagram
- Publication Year :
- 2020
-
Abstract
- Along with potential benefits to healthcare delivery, machine learning healthcare applications (ML-HCAs) raise a number of ethical concerns. Ethical evaluations of ML-HCAs will need to structure the overall problem of evaluating these technologies, especially for a diverse group of stakeholders. This paper outlines a systematic approach to identifying ML-HCA ethical concerns, starting with a conceptual model of the pipeline of the conception, development, implementation of ML-HCAs, and the parallel pipeline of evaluation and oversight tasks at each stage. Over this model, we layer key questions that raise value-based issues, along with ethical considerations identified in large part by a literature review, but also identifying some ethical considerations that have yet to receive attention. This pipeline model framework will be useful for systematic ethical appraisals of ML-HCA from development through implementation, and for interdisciplinary collaboration of diverse stakeholders that will be required to understand and subsequently manage the ethical implications of ML-HCAs. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15265161
- Volume :
- 20
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- American Journal of Bioethics
- Publication Type :
- Academic Journal
- Accession number :
- 146630565
- Full Text :
- https://doi.org/10.1080/15265161.2020.1819469