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.
Restricted to graduate degree seekers in the School of Information during registration periods 1 and 2.
Remaining seats will be made available to outside students on January 13th.
In the meantime, interested non-iSchool students may request a seat reservation by completing this Registration Support Questionnaire.