10 citations · 16 across the 5 of their papers we have counts for
6 papers
Beyond Simulations: What 20,000 Real Conversations Reveal About Mental Health AI Safety
Caitlin A. Stamatis, Jonah Meyerhoff, Richard Zhang +3
Mental-health AI safety is typically evaluated with small, simulation-based benchmarks that may not reflect the linguistic and contextual diversity of deployment. We pair four benc…
The Agony of Opacity: Foundations for Reflective Interpretability in AI-Mediated Mental Health Support
Sachin R. Pendse, Darren Gergle, Rachel Kornfield +6
Throughout history, a prevailing paradigm in mental healthcare has been one in which distressed people may receive treatment with little understanding around how their experience i…
When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlines
Sachin R. Pendse, Darren Gergle, Rachel Kornfield +6
Red-teaming is a core part of the infrastructure that ensures that AI models do not produce harmful content. Unlike past technologies, the black box nature of generative AI systems…
Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools
Ananya Bhattacharjee, Joseph Jay Williams, Miranda Beltzer +6
Challenges in engagement with digital mental health (DMH) tools are commonly addressed through technical enhancements and algorithmic interventions. This paper shifts the focus tow…
Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions
Ananya Bhattacharjee, Sarah Yi Xu, Pranav Rao +8
Stories about overcoming personal struggles can effectively illustrate the application of psychological theories in real life, yet they may fail to resonate with individuals' exper…
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
Harsh Kumar, Tong Li, Jiakai Shi +11
Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible mental health support. While these intervention…