Spring 2021
INF 385T Special Topics in Information Science : Human-AI Interaction
| Unique ID: 28385 | Min Kyung Lee |
| 3:00 pm - 6:00 pm | Syllabus |
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.
SCHEDULE NOTES
Synchronous class meetings conducted online.
RESTRICTIONS
Some seats reserved for graduate students in the School of Information.