Spring 2022
INF 385T Special Topics in Information Science : Human-AI Interaction
Mon
Synchronous class meetings conducted online.
DESCRIPTION
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.
PREREQUISITES
Graduate standing.
RESTRICTIONS
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.