Recent advances in biomedicine that use machine learning have shown promise in identifying psychosis by automatically analysing speech and social media usage patterns, Indeed, in a few years, such artificial intelligence (AI) methods will lead to the ability to predict psychosis before humans can ever reliably do so, and shed light on the mechanisms underlying the disorder. With earlier diagnosis and treatment, these advances could help restore life to those at risk of schizophrenia. However, for all modern neurotechnological innovations, they invariably involve parallel benefits. Are there the required ethics to optimally support the potential benefits of artificial intelligence for schizophrenia? This article will focus on the ethical issues and principles that need to be addressed to shift the pendulum of risk in favour and solutions are proposed to achieve this shift.
https://www.tandfonline.com/doi/full/10.1080/21507740.2019.1632972