This paper is in the following e-collection/theme issue:

Theme Issue 2023 - 2024 : Responsible Design, Integration, and Use of Generative AI in Mental Health (16) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Artificial Intelligence (2129) Development and Evaluation of Research Methods, Instruments and Tools (744) Depression and Mood Disorders; Suicide Prevention (1691) Generative Language Models Including ChatGPT (708) Chatbots and Conversational Agents (740) Web-based and Mobile Health Interventions (4018)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56569, first published .
The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals With Depression: A Critical Analysis

The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals With Depression: A Critical Analysis

The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals With Depression: A Critical Analysis

Authors of this article:

Andrea Ferrario1, 2 Author Orcid Image ;   Jana Sedlakova1, 3, 4 Author Orcid Image ;   Manuel Trachsel5, 6, 7 Author Orcid Image
Article Authors Cited by (20) Tweetations (1) Metrics

Journals

  1. Elyoseph Z, Gur T, Haber Y, Simon T, Angert T, Navon Y, Tal A, Asman O. An Ethical Perspective on the Democratization of Mental Health With Generative AI. JMIR Mental Health 2024;11:e58011 View
  2. Hu M, Chua X, Diong S, Kasturiratna K, Majeed N, Hartanto A. AI as your ally: The effects of AI‐assisted venting on negative affect and perceived social support. Applied Psychology: Health and Well-Being 2025;17(1) View
  3. Asman O, Torous J, Tal A. Responsible Design, Integration, and Use of Generative AI in Mental Health. JMIR Mental Health 2025;12:e70439 View
  4. Haber Y, Hadar Shoval D, Levkovich I, Yinon D, Gigi K, Pen O, Angert T, Elyoseph Z. The externalization of internal experiences in psychotherapy through generative artificial intelligence: a theoretical, clinical, and ethical analysis. Frontiers in Digital Health 2025;7 View
  5. Rahsepar Meadi M, Sillekens T, Metselaar S, van Balkom A, Bernstein J, Batelaan N. Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review. JMIR Mental Health 2025;12:e60432 View
  6. Huang Y, Wang W, Zhou J, Zhang L, Lin J, Liu H, Hu X, Zhou Z, Dong W. Integrative modeling enables ChatGPT to achieve average level of human counselors performance in mental health Q&A. Information Processing & Management 2025;62(5):104152 View
  7. Mileti A, de Cosmo L, Piper L, Baldassarre F, Schillaci E, Guido G. Tell Me How to Prompt! Healthcare Chatbots Response to Emotional Prompts for Enhanced Services. Review and Propositions. Journal of Economic Surveys 2025;39(5):2272 View
  8. Lee H, Hwang Y, Kim Y, Park Y, Jo H. Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Model. JMIR Medical Informatics 2025;13:e65127 View
  9. Tabassum A, Ghaznavi I, Abd-Alrazaq A, Qadir J. Exploring the Application of AI and Extended Reality Technologies in Metaverse-Driven Mental Health Solutions: Scoping Review. Journal of Medical Internet Research 2025;27:e72400 View
  10. Bucher A, Egger S, Vashkite I, Wu W, Schwabe G. “It’s Not Only Attention We Need”: Systematic Review of Large Language Models in Mental Health Care. JMIR Mental Health 2025;12:e78410 View
  11. Jung H, Park J, Holoubek T, Kim W, Park J. Socially Assistive Robots in Mental Healthcare: Principles and Conceptual Framework for User-Centered Design. International Journal of Social Robotics 2025 View
  12. Zhang R, Meng H, Neubronner M, Lee Y. Computational and ethical considerations for using large language models in psychotherapy. Nature Computational Science 2025;5(10):854 View
  13. Maisa M, Agustien N, Fanany S, Wirabhakti A, Kereibayeva A. Navigating AI in Producing Cohesion Devices in the Preparatory Paragraph of the Essay. Studies in Learning and Teaching 2025;6(2):424 View
  14. Wang Y, Li M, Wang S, Fang Y, Sun J, Lu L, Yan W. Large language models in clinical psychiatry: Applications and optimization strategies. World Journal of Psychiatry 2025;15(11) View
  15. Boit S, Patil R. A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework. JMIR Mental Health 2025;12:e75078 View
  16. Leroy G, Bisht P, Kandula S, Maltman N, Rice S. Deep learning for autism detection using clinical notes: A comparison of transfer learning for a transparent and black-box approach. Artificial Intelligence in Medicine 2025:103318 View

Books/Policy Documents

  1. Fu M, Chan W. Oxford Intersections: AI in Society. View

Conference Proceedings

  1. Progga F, Khan A, Rubya S. Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing. Large Language Models and Personalized Storytelling for Postpartum Wellbeing View
  2. Kambare S, Jain K, Kale I, Kumbhare V, Lohote S, Lonare S. 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA). Design and Evaluation of an AI-Powered Conversational Agent for Personalized Mental Health Support and Intervention (MindBot) View
  3. Carstensen C, Small N, Bhaskar J, Lopez B, Shrestha A, Rundensteiner E. 2024 IEEE MIT Undergraduate Research Technology Conference (URTC). MInDS: Using Large Language Models to Screen for Depression View