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

Theme Issue 2023 : Responsible Design, Integration, and Use of Generative AI in Mental Health (8) Artificial Intelligence (1189) Chatbots and Conversational Agents (459) Generative Language Models Including ChatGPT (202) Machine Learning (47) Natural Language Processing (637) Methods and New Tools in Mental Health Research (424) Development and Evaluation of Research Methods, Instruments and Tools (424) Research Instruments, Questionnaires, and Tools (540) Data Science (223) Theory and Frameworks in Mental Health (22)

Published on in Vol 11 (2024)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55988, first published .
Assessing the Alignment of Large Language Models With Human Values for Mental Health Integration: Cross-Sectional Study Using Schwartz’s Theory of Basic Values

Assessing the Alignment of Large Language Models With Human Values for Mental Health Integration: Cross-Sectional Study Using Schwartz’s Theory of Basic Values

Assessing the Alignment of Large Language Models With Human Values for Mental Health Integration: Cross-Sectional Study Using Schwartz’s Theory of Basic Values

Authors of this article:

Dorit Hadar-Shoval1 Author Orcid Image ;   Kfir Asraf1 Author Orcid Image ;   Yonathan Mizrachi2, 3 Author Orcid Image ;   Yuval Haber4 Author Orcid Image ;   Zohar Elyoseph5, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Haber Y, Levkovich I, Hadar-Shoval D, Elyoseph Z. The Artificial Third: A Broad View of the Effects of Introducing Generative Artificial Intelligence on Psychotherapy. JMIR Mental Health 2024;11:e54781 View
  2. Shinan-Altman S, Elyoseph Z, Levkovich I. The impact of history of depression and access to weapons on suicide risk assessment: a comparison of ChatGPT-3.5 and ChatGPT-4. PeerJ 2024;12:e17468 View