Neuroethics at the interface of machine learning and schizophrenia

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.