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Published on: May 8, 2021
Neuroethics at the interface of machine learning and schizophrenia
Jacob McFarlane1,2, Judy Illes3
1Cognitive Systems, Faculty of Arts, University of British Columbia, Vancouver, BC, Canada.
Abstract:
Ethical discourse around machine learning analysis of free speech for the detection of schizophrenia has largely focused on consent and personal privacy. We focus here on additional ethics concerns and principles that must be addressed to move the pendulum of risk over to benefit and propose solutions to achieve that shift.
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