Ethical Machine Learning in Health Care
Computers and Society
2021-07-29 v3 Artificial Intelligence
Machine Learning
Abstract
The use of machine learning (ML) in health care raises numerous ethical concerns, especially as models can amplify existing health inequities. Here, we outline ethical considerations for equitable ML in the advancement of health care. Specifically, we frame ethics of ML in health care through the lens of social justice. We describe ongoing efforts and outline challenges in a proposed pipeline of ethical ML in health, ranging from problem selection to post-deployment considerations. We close by summarizing recommendations to address these challenges.
Cite
@article{arxiv.2009.10576,
title = {Ethical Machine Learning in Health Care},
author = {Irene Y. Chen and Emma Pierson and Sherri Rose and Shalmali Joshi and Kadija Ferryman and Marzyeh Ghassemi},
journal= {arXiv preprint arXiv:2009.10576},
year = {2021}
}
Comments
Annual Reviews in Biomedical Data Science 2021