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  1. Identifying Ethical Considerations for Machine Learning Healthcare Applications.Danton S. Char, Michael D. Abràmoff & Chris Feudtner - 2020 - American Journal of Bioethics 20 (11):7-17.
    Along with potential benefits to healthcare delivery, machine learning healthcare applications raise a number of ethical concerns. Ethical evaluations of ML-HCAs will need to structure th...
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  • Special Report: The Ethics of Using QI Methods to Improve Health Care Quality and Safety.Mary Ann Baily, Melissa M. Bottrell, Joanne Lynn & Bruce Jennings - 2006 - Hastings Center Report 36 (4):S1-S40.
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  • Do no harm: A roadmap for responsible machine learning for health care.J. Wiens, S. Saria, M. Sendak, M. Ghassemi, V. X. Liu & F. Doshi-Velez - 2019 - Nature Medicine 25.
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  • Clinical applications of machine learning algorithms: beyond the black box.David S. Watson, Jenny Krutzinna, Ian N. Bruce, Christopher E. M. Griffiths, Iain B. McInnes, Michael R. Barnes & Luciano Floridi - 2019 - British Medical Journal 364:I886.
    Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.
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