5 papers
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…
The Role of Partisan Culture in Mental Health Language Online
Sachin R. Pendse, Ben Rochford, Neha Kumar +1
The impact of culture on how people express distress in online support communities is increasingly a topic of interest within Computer Supported Cooperative Work (CSCW) and Human-C…
The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support
Inhwa Song, Sachin R. Pendse, Neha Kumar +1
People experiencing severe distress increasingly use Large Language Model (LLM) chatbots as mental health support tools. Discussions on social media have described how engagements…
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…
ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models
Inhwa Song, SoHyun Park, Sachin R. Pendse +3
Expressing stressful experiences in words is proven to improve mental and physical health, but individuals often disengage with writing interventions as they struggle to organize t…