11 citations · 29 across the 32 of their papers we have counts for
14 papers · 1 filter
"We Are Tired of Explaining": Communication Practice and AI Roleplay Training for Community Health Workers in Rural India
Neil K. R. Sehgal, Sunny Rai, Sai Preethi Matam +4
Community health workers (CHWs) in the Global South increasingly encounter AI-powered tools, yet the counseling work central to their role remains largely unsupported. We study com…
LLMs Mirror Country-Specific Gender Patterns If Asked, but Skew Male When Generating Media in Local Languages
Sharif Kazemi, Tanya Popli, Neil K. R. Sehgal +7
Large language models (LLMs) are increasingly used to generate media, but whether their content perpetuates gender stereotypes is unknown: standard benchmarks rely on selection-bas…
Predictors of Loneliness in Older Adults Using Multimodal Analysis of Speech and Language
Vinmay Khandode, Sai Karthik Kosuri, Neil K. R. Sehgal +6
Loneliness is a critical public health issue among older adults, linked to higher risks of depression, cognitive decline, and mortality. Scalable, objective methods for its detecti…
Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models
Sunny Rai, Jinyi Kuang, Reyhan Jamalova +7
Previous AI alignment efforts have focused primarily on first-order social norms -- teaching models what is socially acceptable or unacceptable (e.g., `do not steal'). However, soc…
Depression Symptoms and Relational Patterns in 187k ChatGPT Histories
Neil K. R. Sehgal, Dunigan Folk, Lyle Ungar +1
Large language models are increasingly used as private, always-available conversational systems, but little is known about how people with depressive symptoms use them. Building on…
Narrative Sharpens Gender Gaps: Surveying Film Characters with LLM Agents
Vivienne Bihe Chi, Reyhan Jamalova, Lyle Ungar +1
Mainstream film is one of the richest sources of cultural content that AI systems learn from. Yet we have few tools for measuring the gender values it encodes. We present a proof-o…