DSCI 531 Fairness in Artificial Intelligence

Units: 4
Terms Offered: FaSp

Basic and advanced fairness concepts and methods; applications to societal data for studying fairness and bias; fairness and bias effects in learning algorithms.
Recommended Preparation: Knowledge of Python, linear algebra, probability, and statistics. Familiarity with artificial intelligence and machine learning.
Instruction Mode: Lecture
Grading Option: Letter