Safety and User Experience of a Generative Artificial Intelligence Digital Mental Health Intervention: Exploratory Randomized Controlled Trial.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: General awareness and exposure to generative artificial intelligence (AI) have increased recently. This transformative technology has the potential to create a more dynamic and engaging user experience in digital mental health interventions (DMHIs). However, if not appropriately used and controlled, it can introduce risks to users that may result in harm and erode trust. At the time of conducting this trial, there had not been a rigorous evaluation of an approach to safely implementing generative AI in a DMHI.

Authors

  • Timothy R Campellone
    Woebot Health, San Francisco, CA, United States.
  • Megan Flom
    Woebot Health, San Francisco, CA, United States.
  • Robert M Montgomery
    Woebot Health, San Francisco, CA, United States.
  • Lauren Bullard
    Woebot Health, San Francisco, CA, United States.
  • Maddison C Pirner
    Woebot Health, San Francisco, CA, United States.
  • Aaron Pavez
    Woebot Health, San Francisco, CA, United States.
  • Michelle Morales
    Woebot Health, San Francisco, CA, United States.
  • Devin Harper
    Woebot Health, San Francisco, CA, United States.
  • Catherine Oddy
    Woebot Health, San Francisco, CA, United States.
  • Tom O'Connor
    Woebot Health, San Francisco, CA, United States.
  • Jade Daniels
    Woebot Health, San Francisco, CA, United States.
  • Stephanie Eaneff
    Berkeley Institute for Data Science, University of California, Berkeley.
  • Valerie L Forman-Hoffman
    Woebot Health, San Francisco, CA, United States.
  • Casey Sackett
    Woebot Health, San Francisco, CA, United States.
  • Alison Darcy
    Woebot Health, San Francisco, California.