Overview
As artificial intelligence becomes increasingly embedded in everyday life, understanding and shaping how people interact with AI systems is more critical than ever. Our research investigates the design, evaluation, and deployment of AI systems that are transparent, trustworthy, and responsive to human needs. We explore topics including explainability and interpretability of AI, human oversight and agency in AI-assisted decision-making, conversational and generative AI interfaces, and the social and ethical implications of AI integration across domains such as education, healthcare, and the workplace. Our work draws on methods from human-computer interaction, cognitive science, and AI to build systems that support meaningful, effective, and equitable collaboration between humans and intelligent agents.