Abstract:

As an interdisciplinary field of psychiatry and law, forensic psychiatry undertakes key tasks such as the assessment of criminal responsibility, mental injury and violence risk. At present, research on this subject presents a trend of interdisciplinary integration. On the one hand, emerging technologies such as neuroimaging, artificial intelligence and big data have been introduced into forensic identification practice, providing more objective biological indicators and data analysis tools for mental state assessment, and promoting the transformation of assessment models from reliance on subjective experience to objective quantification. On the other hand, the research scope has expanded from the traditional assessment of criminal responsibility to multiple frontier fields, such as analysis of mental injury mechanism, violence risk assessment and the protection of the rights and interests of special groups. However, the rapid development of the discipline also faces severe challenges. The methods of psychiatric examination still rely heavily on subjective experience and lack objective biological indicators. The assessment standard of criminal responsibility requires further integration of the medical and legal perspectives. The application of emerging technologies raises ethical and legal issues such as data privacy and algorithm bias. In the future, forensic psychiatry should focus on the objectivity and precision of examination techniques, building a comprehensive assessment system that integrates multimodal data and artificial intelligence, strengthening the scientific foundations of behavioral capacity evaluations, and improving ethical norms and standardization construction, so as to promote leapfrog development in forensic psychiatry.

Key words: forensic psychiatry, artificial intelligence, multimodality, standardization, review