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

Jinkyung ParkRamanathan ArunachalamVincent Michael Bernard SilenzioVivek K Singh
Published in: JMIR formative research (2022)
This study grounds the need for algorithmic auditing in phone-based mental health assessment algorithms and the use of gender as a protected attribute to study fairness in such settings. Such audits and remedial steps are the building blocks for the widespread adoption of fair and accurate mental health assessment algorithms in the future.
Keyphrases
  • mental health
  • machine learning
  • deep learning
  • high resolution
  • electronic health record