From Skepticism to Support: Addressing Clinician and Patient Concerns About <scp>AI</scp> in Eating Disorder Care
While Linardon and colleagues reveal cautious attitudes toward artificial intelligence (AI) in eating disorder care, our recent empirical evidence suggests that specialized, expert-developed AI interventions can effectively support individuals at risk for eating disorders. However, unlike specialized AI, general-purpose AI (systems designed for broad tasks without specific clinical fine-tuning) often produces harmful content for eating disorder-related prompts, highlighting the need for specialized systems with strong ethical guardrails. Responsible AI integration requires balancing legitimate clinical concerns with evidence-based implementation, positioning AI not as a replacement for human providers, but as a complementary tool to expand access to quality care for the many individuals unable to receive traditional treatment.
Authors
- Ellen E. Fitzsimmons‐Craft (ORCID: https://orcid.org/0000-0001-7064-3835)
- Elizabeth W. Lampe (ORCID: https://orcid.org/0000-0002-6737-7027)
- Nicholas C. Jacobson (ORCID: https://orcid.org/0000-0002-8832-4741)
Institutions
- Dartmouth College (US)
- Washington University in St. Louis (US)
Publication Details
- Journal
- International Journal of Eating Disorders
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1002/eat.24457
- Citations
- 1
- Primary Topic
- Eating Disorders and Behaviors
- Type
- article
- Field-Weighted Citation Impact
- 2.31
Funders
- National Institute of Mental Health
- National Institute on Drug Abuse