Sunny Rai

Text or Speech, the Gap Persists: AI-based Depression Screening Is Better Calibrated for Lower Socioeconomic Status Users

The interactional design of digital mental health systems can shape what people say, how they say it, and whose distress becomes legible to automated models. We developed a multimodal survey chatbot, M2SurveyBot with clinical psychologists, to examine whether interaction modality that is, typing versus speech, affects...

Multimodal Explainable Arti fi cial Intelligence for Prognostic Strati fi cation of Patients With Glioblastoma

"We Are Tired of Explaining": Communication Practice and AI Roleplay Training for Community Health Workers in Rural India

Drawing across observed calls, interviews, and probe reactions, design considerations for AI roleplay training are derived: keep AI in a rehearsal role, provide descriptive rather than prescriptive feedback, and evaluate counseling process rather than agreement with prescribed responses.

LLMs Mirror Country-Specific Gender Patterns If Asked, but Skew Male When Generating Media in Local Languages

Large language models (LLMs) are increasingly used to generate media, but whether their content perpetuates gender stereotypes is unknown: standard benchmarks rely on selection-based formats rather than long-form generation, and surveyed baselines for local gender associations are scarce outside the West. We collect ge...

Beyond Right and Wrong: Evaluating Second-order Social Reasoning in Large Language Models

A novel framework for evaluating metanorm reasoning in Large Language Models (LLMs) along two dimensions: emotional appraisal and behavioral response, and proposes new classification tasks, namely, predicting self-regulation in violators, and other-regulation in observers.