Abstract

The article analyzes the problems of diagnostic and psychotherapeutic use of AI in the field of mental health. The problem of the paradigmatic foundations of programming an AI algorithm, the problem of the quality of Big Data on the basis of which AI is trained, the problem of eliminating human-AI differences in psychiatric discourse, as well as the key importance of subjectivity in psychotherapy are considered. The prospects for studying the differences between intersubjective contact and subject-AI contact, the problem of the impact of AI on the subject and the ability of the subject to recognize the imitation of subjectivity are also outlined.