In Christopher Burr & Silvia Milano (eds.), The 2019 Yearbook of the Digital Ethics Lab. pp. 67-88 (2020)
AbstractWe argue that while digital health technologies (e.g. artificial intelligence, smartphones, and virtual reality) present significant opportunities for improving the delivery of healthcare, key concepts that are used to evaluate and understand their impact can obscure significant ethical issues related to patient engagement and experience. Specifically, we focus on the concept of empowerment and ask whether it is adequate for addressing some significant ethical concerns that relate to digital health technologies for mental healthcare. We frame these concerns using five key ethical principles for AI ethics (i.e. autonomy, beneficence, non-maleficence, justice, and explicability), which have their roots in the bioethical literature, in order to critically evaluate the role that digital health technologies will have in the future of digital healthcare.
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References found in this work
Explanation in Artificial Intelligence: Insights From the Social Sciences.Tim Miller - 2019 - Artificial Intelligence 267:1-38.
Citations of this work
Is There an App for That?: Ethical Issues in the Digital Mental Health Response to COVID-19.Joshua August Skorburg & Josephine Yam - 2022 - American Journal of Bioethics Neuroscience 13 (3):177-190.
Digital Psychiatry: Ethical Risks and Opportunities for Public Health and Well-Being.Christopher Burr, Jessica Morley, Mariarosaria Taddeo & Luciano Floridi - 2020 - IEEE Transactions on Technology and Society 1 (1):21–33.
Human Goals Are Constitutive of Agency in Artificial Intelligence.Elena Popa - 2021 - Philosophy and Technology 34 (4):1731-1750.
Co-Design and Ethical Artificial Intelligence for Health: An Agenda for Critical Research and Practice.James A. Shaw & Joseph Donia - 2021 - Big Data and Society 8 (2).
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