Class Description

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.