The Digital Mirror: Clinical Potentials and Relational Risks of Generative AI in Mental Health Interventions

Area of Science:

• Mental Health Technology
• Artificial Intelligence in Healthcare
• Clinical Psychology

Background:

• Generative Artificial Intelligence (GenAI) is increasingly integrated into mental health care.
• Applications span assessment, treatment planning, and psychotherapeutic interventions.
• Critical evaluation of risks and ethical dilemmas is essential.

Purpose of the Study:

• To explore the integration of GenAI in mental health care.
• To evaluate current GenAI applications in assessment, treatment planning, and interventions.
• To examine clinical risks, ethical dilemmas, and future potential of GenAI as an adjunctive tool.

Main Methods:

• Review of recent studies on AI in mental health.
• Analysis of randomized controlled trials (RCTs) on GenAI chatbots.
• Critical examination of identified risks and ethical challenges.

Main Results:

• AI assists in diagnostic reasoning, biomarker identification, and symptom prediction.
• GenAI chatbots show short-term reduction in anxiety and depressive symptoms.
• Human-led therapy is superior for emotional engagement; GenAI poses risks like dependency and reinforcing maladaptive schemas.

Conclusions:

• GenAI offers scalable support for assessment, training, and monitoring as an adjunctive layer.
• GenAI lacks authentic relational depth for transformative change.
• Future integration requires a human-centered, blended approach with strict clinical supervision and ethical frameworks.