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Ethical Machine Learning in Health Care
arXiv - CS - Machine Learning Pub Date : 2020-09-22 , DOI: arxiv-2009.10576
Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, and Marzyeh Ghassemi

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.

中文翻译:

医疗保健中的道德机器学习

机器学习 (ML) 在医疗保健中的使用引发了许多伦理问题,尤其是模型会放大现有的健康不平等。在这里,我们概述了在医疗保健进步中公平 ML 的伦理考虑。具体而言,我们通过社会正义的视角来构建医疗保健领域的机器学习伦理。我们描述了正在进行的努力并概述了拟议的健康道德机器学习管道中的挑战,从问题选择到部署后的考虑。我们最后总结了应对这些挑战的建议。
更新日期:2020-10-09
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