INF 385T Special Topics in Information Science : Human-AI Interaction
Synchronous class meetings conducted online.
Introduction to combining human and machine intelligence to benefit people and society. Exploration of cutting-edge research on a number of topics related to human-AI interaction, including the psychological and societal impacts of AI, AI biases and fairness, transparency and explainability, mixed-initiative interaction, human-in-the-loop decision-making, embodied and natural language based AI, and design guidelines and methods for AI user experiences.
Some seats reserved for graduate students in the School of Information.