论文标题
卫生保健中的道德机器学习
Ethical Machine Learning in Health Care
论文作者
论文摘要
在医疗保健中使用机器学习（ML）引起了许多道德问题，尤其是因为模型可以扩大现有的健康不平等。在这里，我们概述了医疗保健发展方面公平ML的道德考虑。具体而言，我们通过社会正义的角度来构建医疗保健中ML的道德。我们在拟议的健康ML拟议渠道中描述了正在进行的努力和概述挑战，从问题选择到剥离后的注意事项。我们通过总结建议解决这些挑战的建议。
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.
