Human AI Decision Making

Teams of the future will likely consist of humans and AI agents. To this purpose, we are conducting experiments to explore how such teams integrate their individual decisions into a group response. Alongside, we are developing theories that can explain decision making by mixed teams. A critical part of this modeling is an understanding of how trust develops in such teams, and consequentially what might be appropriate attack (and defense) strategies for AI to disrupt decision making and other team behavior.

Affiliated People

Rasta Tadayon

Research interests:

Rasta is a Computer Science Ph.D. student at UC Santa Barbara. Prior to this, she earned her B.S. degree in Computer Engineering from the University of Tehran. Her research interests span various areas of artificial intelligence including AI for good, human-AI interaction, fairness and robustness of AI, and deep generative AI.