Dear Colleagues,

The integration of artificial intelligence (AI) and emerging technologies into precision psychiatry offers a promising pathway for addressing the growing mental health needs. Recent advances demonstrate that AI-driven tools—such as conversational agents and machine learning–based decision systems—can improve the accessibility, personalization, and effectiveness of mental health interventions. In particular, AI platforms incorporating cognitive behavioral therapy (CBT) techniques have shown potential in reducing mood-related symptoms and supporting the regulation of emotions.

We are witnessing a “Digital Pandemic” where algorithmic pathogenesis exploits the critical developmental windows of Generation Z, overwhelming their regulatory capacities and precipitating a surge in psychopathology. Adolescents and younger populations often report experiencing greater comfort while engaging with AI systems than with traditional psychiatric settings, since AI-mediated environments are perceived as nonjudgmental and stigma-free, thereby encouraging disclosure and sustained engagement. However, the same digital architecture that facilitates mental care can also harbor risks of cyberbullying, privacy breaches, and algorithmic bias if it is poorly governed. The rapid adoption of AI in psychiatric care also presents significant ethical and clinical challenges, including data privacy, informed consent, algorithmic transparency, and the necessity for appropriate human oversight.

This special issue brings together original empirical studies and narrative reviews that examine the opportunities, limitations, and ethical considerations of AI in precision psychiatry. Contributions emphasize evidence-based implementation, clinical validity, and responsible innovation to ensure that emerging technologies meaningfully advance psychiatric care while safeguarding patient well-being.

Prof. Dr. Kuan-Pin Su and Dr. Jane Pei-Chen Chang
Guest Editors