Ethical dilemmas in the relationship between professional and patient before the integration of the IA in psychiatric diagnosis

The purpose of this case study is to analyze the ethical and professional challenges that arise in the integration of artificial intelligence for psychiatric diagnosis, with special emphasis on the relationship between the health professional and the patient. The study included the review of scientific literature, analysis of ethical and regulatory standards, as well as the elaboration of a hypothetical clinical case in order to illustrate the issues that are associated with data privacy, as well as the dehumanization of care, aspects of clinical liability and the emergence of biases in algorithms. It was identified that AI is a tool that can improve diagnostic accuracy and personalization of treatments, but this implies risk in the use of sensitive data, the affectation of the therapeutic link and ambiguity in the assignment of responsibilities, as well as the perpetuation of structural inequalities and biases. The multidisciplinary analysis shows the need to balance the potential technological benefits with the protection of human values and ethical aspects in both diagnosis and treatment. It is concluded that AI in psychiatry must be implemented responsibly, ensuring transparency, equity, protection of patients' rights and humanity as the center of the relationship between professional and patient, which makes necessary a clear regulation about safe clinical practice in the digital era.