ArticleJournal of medical Internet research2025
Mentalizing Without a Mind: Psychotherapeutic Potential of Generative AI.
Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Algorithmic Reflectivity in Large Language Models: Methodological Study of Linguistic Structure in Mentalization.JMIR AI · 2026Article
- Are You Qualified, ChatGPT? Examining Clinical Skills and Competencies of ChatGPT in Delivering Systemic Interventions.Journal of marital and family therapy · 2026Article
- Article
- Generative AI Engagement and Perceived Nutrition-Oriented Feeding Practices Among Urban Indonesian Mothers: Mixed Methods Study.JMIR pediatrics and parenting · 2026Article
- A Shift in Trust: An Analysis of the Use of AI Chatbots Among People Living With Bipolar Disorder.Bipolar disorders · 2026Article
- Trust-driven healthy engagement with conversational AI for mental health support in young adults: a mixed methods study.Scientific reports · 2026Article
- The Digital Mirror: Clinical Potentials and Relational Risks of Generative AI in Mental Health Interventions.Current psychiatry reports · 2026Review
- Large language models for post-discharge follow-up in erectile dysfunction care: a narrative review.Translational andrology and urology · 2026Review
- Feasibility and acceptability of the MentiParent AI chatbot for training parental reflective functioning.Scientific reports · 2026Article
- Development and validation of the AI-assisted psychoemotional regulation scale (ERP-IA-6).Frontiers in psychology · 2026Article
- Mentorship as a secure base: an attachment and mentalizing perspective on academic development.Frontiers in psychology · 2026Article
- Generative AI as a de facto mental health provider: a policy brief and urgent call for regulation.Frontiers in digital health · 2026Article
- Integrating Artificial Intelligence into Psychological Counseling: A Narrative Review and Governance Framework.Inquiry : a journal of medical care organization, provision and financingReview
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Authors and funding
2 authors.
Funding
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Abstract
This paper explores the integration of generative artificial intelligence (AI) into psychotherapeutic practice through the lens of mentalization theory, with a particular focus on epistemic trust-a critical relational mechanism that facilitates psychological change. We critically examine AI's capability to replicate core therapeutic components, such as empathy, embodied mentalizing, biobehavioral synchrony, and reciprocal mentalizing. Although current AI systems, especially large language models, demonstrate significant potential in simulating emotional responsiveness, cognitive empathy, and therapeutic dialogue, fundamental limitations persist. AI's inherent lack of genuine emotional presence, reciprocal intentionality, and affective commitment constrains its ability to foster authentic epistemic trust and meaningful therapeutic relationships. Additionally, we outline significant risks, notably for individuals with complex trauma or relational vulnerabilities, highlighting concerns regarding pseudo-empathy, mistaking phenomenal experience for objective reality (psychic equivalence), fruitless ungrounded pursuit of social understanding (hypermentalization), and epistemic exploitation of individuals in whom artificial understanding by AI triggers excessive credulity. Nonetheless, we propose ethically informed pathways for integrating AI to enhance clinical practice, therapist training, and client care, particularly in augmenting human capacities within group and adjunctive therapy contexts. Paradoxically, AI could support psychotherapists in improving their capacity to mentalize, improve their understanding of their clients, and provide such understanding within the moral constraints that normally govern their work. This paper calls for careful ethical regulation similar to that limiting genetic manipulation, interdisciplinary research, and clinician involvement in shaping future AI-based psychotherapeutic models, emphasizing that AI's role should complement rather than replace the irreplaceable relational core of psychotherapy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.