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Fairness in Mobile Phone-Based Mental Health Assessment Algorithms: Exploratory Study

Jinkyung Park1, Ramanathan Arunachalam2, Vincent Silenzio3

  • 1School of Communication & Information, Rutgers University, New Brunswick, NJ, United States.

JMIR Formative Research
|June 14, 2022
PubMed
Summary

Mobile mental health apps show gender bias in AI predictions. A disparate impact remover (DIR) approach significantly reduced this bias, improving fairness in AI-driven mental health assessments.

Keywords:
algorithmic biasgender biashealth equityhealth information systemsmedical informaticsmental healthmobile phone

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