Overview

Our work explores how individuals perceive, trust, and interact with AI-driven decisions, aiming to foster fair, transparent, and socially responsible AI systems. We focus on understanding algorithm appreciation and aversion, trust formation, cognitive biases, and fairness in AI adoption, ensuring that AI technologies align with human values and ethical principles.

Our interdisciplinary research team on AI draws from communication, psychology, decision sciences, ethics, and computer science to study how AI influences human decision-making and behavior. By integrating empirical studies, behavioral experiments, and computational modeling, we provide actionable insights for designing AI systems that enhance user trust and engagement.

Graduate and undergraduate students interested in joining our lab are encouraged to reach out to us. We offer VIP (Vertically Integrated Projects), which are intensive research experiences for undergraduate students.

Psychology of AI Lab aims to bridge the gap between robots, AI technology and human cognition, ensuring AI systems are not only efficient but also trusted, fair, and ethically responsible. We examine the psychological and cognitive factors that shape trust in AI, algorithmic fairness, and human-AI collaboration, fostering transparency, accountability, and user acceptance.

We envision a future where AI is deeply integrated into society as a trusted, supportive and fair decision-making partner. Through rigorous research, we aim to set new standards for trustworthy AI, helping policymakers, researchers, and developers build AI systems that align with human values, cognitive processes, and ethical frameworks.