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Background: The tools of emotion mining were developed in the field of computer science to detect and evaluate human emotions. The development of social media and digital phenotyping has empowered researchers to apply these techniques to the field of medicine. In recent years we have seen an evolution of novel health technologies that utilise data-driven emotion mining for mental health diagnostics and assessment.

Aim: In this review of psychiatric AI we provide a high level overview of these technologies and their integration into clinical practice. The aim of this paper is to describe novel ethical scenarios posed by these models through a series of case studies, and establish how existing ethics frameworks can be adapted to meet these new challenges. With the techniques of emotion mining being used increasingly for predictions of self-harm, suicide and homicide this review comes at a crucial time …