Human–AI Decision-Making and Data Sharing

We examine how human-AI collaboration can be designed to strengthen rather than undermine human judgment.

AI is transforming how decisions are made across personal and professional contexts. We investigate when and why people turn to AI for advice, how they engage with and rely on its recommendations, and what shapes their perceptions of fairness and transparency. Our research further explores the (meta)cognitive mechanisms and social dynamics of human–AI interaction, the factors that foster or hinder data sharing, and the development of tools to capture reluctance toward AI. Together, these projects aim to chart pathways for responsible human–AI collaboration—unlocking the benefits of AI while safeguarding human agency and critical thinking.