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

Guest Editorial (22) Artificial Intelligence (1832) Chatbots and Conversational Agents (658) Generative Language Models Including ChatGPT (555) Eating Disorders (93)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50696, first published .
Ethical Challenges in AI Approaches to Eating Disorders

Ethical Challenges in AI Approaches to Eating Disorders

Ethical Challenges in AI Approaches to Eating Disorders

Authors of this article:

Gemma Sharp1 Author Orcid Image ;   John Torous2 Author Orcid Image ;   Madeline L West1 Author Orcid Image
Article Authors Cited by (15) Tweetations (19) Metrics

Journals

  1. Torous J, Blease C. Generative artificial intelligence in mental health care: potential benefits and current challenges. World Psychiatry 2024;23(1):1 View
  2. Norris M, Obeid N, El‐Emam K. Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders. International Journal of Eating Disorders 2024;57(6):1357 View
  3. Ghosh S, Burger P, Simeunovic-Ostojic M, Maas J, Petković M. Review of machine learning solutions for eating disorders. International Journal of Medical Informatics 2024;189:105526 View
  4. Torous J, Greenberg W. Large Language Models and Artificial Intelligence in Psychiatry Medical Education: Augmenting But Not Replacing Best Practices. Academic Psychiatry 2025;49(1):22 View
  5. Draganidis A, Fernando A, West M, Sharp G. Social media delivered mental health campaigns and public service announcements: A systematic literature review of public engagement and help-seeking behaviours. Social Science & Medicine 2024;359:117231 View
  6. Cross S, Bell I, Nicholas J, Valentine L, Mangelsdorf S, Baker S, Titov N, Alvarez-Jimenez M. Use of AI in Mental Health Care: Community and Mental Health Professionals Survey. JMIR Mental Health 2024;11:e60589 View
  7. Blease C, Rodman A. Generative Artificial Intelligence in Mental Healthcare: An Ethical Evaluation. Current Treatment Options in Psychiatry 2024;12(1) View
  8. Hua Y, Beam A, Chibnik L, Torous J. From statistics to deep learning: Using large language models in psychiatric research. International Journal of Methods in Psychiatric Research 2025;34(1) View
  9. Sharp G, Dwyer B, Xie J, McNaney R, Shrestha P, Prawira C, Fernando A, de Boer K, Hu H. Co-design of a single session intervention chatbot for people on waitlists for eating disorder treatment: a qualitative interview and workshop study. Journal of Eating Disorders 2025;13(1) View
  10. Klyman K. Acceptable Use Policies for Foundation Models. SuperIntelligence - Robotics - Safety & Alignment 2024;1(1):20 View
  11. Sharp G. Perceived Barriers and Facilitators of Use of Artificial Intelligence in Eating Disorder Care: A Commentary on Linardon et al. (2025). International Journal of Eating Disorders 2025;58(6):1029 View
  12. Thomas P, Bark P, Rowe S. Exploring Therapists’ Approaches to Treating Eating Disorders to Inform User-Centric App Design: Web-Based Interview Study. JMIR Formative Research 2025;9:e68846 View
  13. Torous J, Linardon J, Goldberg S, Sun S, Bell I, Nicholas J, Hassan L, Hua Y, Milton A, Firth J. The evolving field of digital mental health: current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality. World Psychiatry 2025;24(2):156 View
  14. Sharp G, Dwyer B, Randhawa A, McGrath I, Hu H. The Effectiveness of a Chatbot Single-Session Intervention for People on Waitlists for Eating Disorder Treatment: Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e70874 View
  15. Loo R, Nasta F, Macchi M, Baudot A, Burstein F, Bove R, Greve M, Fröhlich H, Khalid S, Küderle A, Moore S, Storms V, Torous J, Glaab E. Recommendations for Successful Development and Implementation of Digital Health Technology Tools. Journal of Medical Internet Research 2025;27:e56747 View