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

Ethical, Legal, and Social Issues in AI (137) Ethics, Privacy, and Legal Issues (685) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2367) Focus Groups and Qualitative Research for Human Factors Research (1354) Methods and New Tools in Mental Health Research (614) Diagnostic Tools in Mental Health (350) Artificial Intelligence (2465) Knowledge and Attitudes of Mental Health Professionals towards Digital Interventions (50)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86633, first published .
Illustration of data privacy and security concepts with people and legal symbols.

Ethics and Fairness Considerations in AI-Based Deception Detection Technologies for Mental Health Applications: Focus Group Study

Ethics and Fairness Considerations in AI-Based Deception Detection Technologies for Mental Health Applications: Focus Group Study

Authors of this article:

Sayde Leya King1 Author Orcid Image ;   Serena Bhaskar2 Author Orcid Image ;   Julia Woodward1 Author Orcid Image ;   Tempestt Neal1 Author Orcid Image
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Sayde Leya King   1 , PhD ;   Serena Bhaskar   2 ;   Julia Woodward   1 , PhD ;   Tempestt Neal   1 , PhD

1 Bellini College of Artificial Intelligence, Cybersecurity, and Computing, University of South Florida, Tampa, FL, United States

2 Department of Mental Health Law and Policy, College of Behavioral and Community Sciences, University of South Florida, Tampa, FL, United States

Corresponding Author:

  • Tempestt Neal, PhD
  • Bellini College of Artificial Intelligence, Cybersecurity, and Computing
  • University of South Florida
  • 4202 E Fowler Ave, ENG030
  • Tampa, FL 33620
  • United States
  • Phone: 1 813-396-9353
  • Email: tjneal@usf.edu