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Accepted for/Published in: JMIR Formative Research

Date Submitted: Jun 5, 2024
Date Accepted: Sep 9, 2024

The final, peer-reviewed published version of this preprint can be found here:

Describing the Framework for AI Tool Assessment in Mental Health and Applying It to a Generative AI Obsessive-Compulsive Disorder Platform: Tutorial

Golden A, Aboujaoude E

Describing the Framework for AI Tool Assessment in Mental Health and Applying It to a Generative AI Obsessive-Compulsive Disorder Platform: Tutorial

JMIR Form Res 2024;8:e62963

DOI: 10.2196/62963

PMID: 39423001

PMCID: 11530715

Applying the Framework for AI Tool Assessment in Mental Health (FAITA-Mental Health) to a Generative AI OCD Platform

  • Ashleigh Golden; 
  • Elias Aboujaoude

ABSTRACT

The Framework for AI Tool Assessment in Mental Health (FAITA-Mental Health) is a new scale that aims to assess AI-mediated mental health interventions. As AI technologies occupy a bigger role in psychiatric and psychological care and become the object of increased research attention, industry investment, and public scrutiny, the FAITA scale provides a tool for evaluating their clinical, ethical, and user-centricity standards. We discuss how the FAITA scale can enable a thorough assessment of a generative AI tool, in part through a scoring system that allows comparisons across platforms and contexts. We then demonstrate the practical application of the FAITA scale by using it to systematically assess a real-world AI product that targets obsessive-compulsive disorder (OCD), highlighting the need for stringent standards to guide AI integration into mental health care in a manner that is not only effective but also safe and protective of users’ rights and welfare.


 Citation

Please cite as:

Golden A, Aboujaoude E

Describing the Framework for AI Tool Assessment in Mental Health and Applying It to a Generative AI Obsessive-Compulsive Disorder Platform: Tutorial

JMIR Form Res 2024;8:e62963

DOI: 10.2196/62963

PMID: 39423001

PMCID: 11530715

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