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 (1565) Artificial Intelligence (1421) Development and Evaluation of Research Methods, Instruments and Tools (511) Depression and Mood Disorders; Suicide Prevention (1392) Generative Language Models Including ChatGPT (325) Chatbots and Conversational Agents (543) Web-based and Mobile Health Interventions (3357)

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

Andrea Ferrario   1, 2 * , PhD ;   Jana Sedlakova   1, 3, 4 * , MA ;   Manuel Trachsel   5, 6, 7 , MD, PhD

1 Institute Biomedical Ethics and History of Medicine, University of Zurich, Zurich, Switzerland

2 Mobiliar Lab for Analytics at ETH, ETH Zurich, Zurich, Switzerland

3 Digital Society Initiative, University of Zurich, Zurich, Switzerland

4 Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland

5 University of Basel, Basel, Switzerland

6 University Hospital Basel, Basel, Switzerland

7 University Psychiatric Clinics Basel, Basel, Switzerland

*these authors contributed equally

Corresponding Author: