Ethical Machine Learning in Healthcare

作者：Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi · 发表于：Annual Review of Biomedical Data Science · 年份：2021 · DOI：10.1146/annurev-biodatasci-092820-114757 · 被引用次数：546 · 研究领域：Artificial Intelligence in Healthcare and Education、Machine Learning in Healthcare、Ethics and Social Impacts of AI

The use of machine learning (ML) in healthcare raises numerous ethical concerns, especially as models can amplify existing health inequities. Here, we outline ethical considerations for equitable ML in the advancement of healthcare. Specifically, we frame ethics of ML in healthcare 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 postdeployment considerations. We close by summarizing recommendations to address these challenges.