Abstract
Methods used in artificial intelligence (AI) overlap with methods used in computational psychiatry (CP). Hence, considerations from AI ethics are also relevant to ethical discussions of CP. Ethical issues include, among others, fairness and data ownership and protection. Apart from this, morally relevant issues also include potential transformative effects of applications of AI—for instance, with respect to how we conceive of autonomy and privacy. Similarly, successful applications of CP may have transformative effects on how we categorise and classify mental disorders and mental health. Since many mental disorders go along with disturbed conscious experiences, it is desirable that successful applications of CP improve our understanding of disorders involving disruptions in conscious experience. Here, we discuss prospects and pitfalls of transformative effects that CP may have on our understanding of mental disorders. In particular, we examine the concern that even successful applications of CP may fail to take all aspects of disordered conscious experiences into account.
Highlights
Methods used in artificial intelligence (AI) overlap with methods used in computational psychiatry (CP)
Methods used in computational psychiatry (CP) [1,2,3,4,5,6,7], such as deep learning, Bayesian modelling, or reinforcement learning, overlap with methods used in artificial intelligence [8]
What revisions of nosology will be suggested by successful clinical applications of computational psychiatry, and by applications of AI in psychiatry? This question is especially relevant because existing research more or less leaves this question open
Summary
Methods used in computational psychiatry (CP) [1,2,3,4,5,6,7], such as deep learning, Bayesian modelling, or reinforcement learning, overlap with methods used in artificial intelligence [8]. Behavioural Brain Research xxx (xxxx) xxx still, they are characterised by disruptions of conscious processing For this reason, it will be useful to refer to them as disorders of consciousness in this paper. The potential transformative effects of CP are morally relevant They may reduce or increase the well-being of persons suffering from mental disorders. For this reason, they are relevant from the point of view of an ethics of consciousness [37,38,39]. ● Thesis: Computational psychiatry is tendentious; many branches of CP have a focus on brain function This may reinforce a biological reductionism, ignoring psychosocial aspects of mental disorders. The ethics of computational psychiatry will be an ethics of consciousness [37,38,39]
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