The Need for a Global Approach to the Ethical Evaluation of Healthcare Machine Learning
American Journal of Bioethics 22 (5):33-35 (2022)
Abstract
In their article “A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning,” McCradden et al. highlight the various gaps that emerge when artificial intelligen...Author Profiles
DOI
10.1080/15265161.2022.2055207
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Citations of this work
Response to Open Peer Commentaries: On Social Harms, Big Tech, and Institutional Accountability.James A. Anderson, Melissa D. McCradden & Elizabeth A. Stephenson - 2022 - American Journal of Bioethics 22 (10):6-8.
Promoting Ethical Deployment of Artificial Intelligence and Machine Learning in Healthcare.Kayte Spector-Bagdady, Vasiliki Rahimzadeh, Kaitlyn Jaffe & Jonathan Moreno - 2022 - American Journal of Bioethics 22 (5):4-7.
References found in this work
Principles of Biomedical Ethics: Marking Its Fortieth Anniversary.James Childress & Tom Beauchamp - 2019 - American Journal of Bioethics 19 (11):9-12.
A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning.Melissa D. McCradden, James A. Anderson, Elizabeth A. Stephenson, Erik Drysdale, Lauren Erdman, Anna Goldenberg & Randi Zlotnik Shaul - 2022 - American Journal of Bioethics 22 (5):8-22.
Ethics of socially assistive robots in aged-care settings: a socio-historical contextualisation.Tijs Vandemeulebroucke, Bernadette Dierckx de Casterlé & Chris Gastmans - 2020 - Journal of Medical Ethics 46 (2):128-136.
‘Yes we hear you. Do you hear us?’. A sociopolitical approach to video-based telepsychiatric consultations.Tijs Vandemeulebroucke, Alice Cavolo & Chris Gastmans - 2022 - Journal of Medical Ethics 48 (1):34-35.