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

Theme Issue 2023 : Responsible Design, Integration, and Use of Generative AI in Mental Health (12) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Artificial Intelligence (1371) Development and Evaluation of Research Methods, Instruments and Tools (481) Depression and Mood Disorders; Suicide Prevention (1363) Generative Language Models Including ChatGPT (311) Chatbots and Conversational Agents (531) Web-based and Mobile Health Interventions (3297)

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 (3) 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 2024 View