AI and Ethics

Overview

In this module, students are introduced to philosophical and statistical conceptions of fairness including parity and calibration, and apply these ideas to algorithms that have disparate impacts on different protected groups, including AI algorithms that predict criminal recidivism. Along the way, students consider the ethical upshot of AI and probability in other domains, including climate change and election forecasting.

Used in Course

Topics

Artificial Intelligence Machine Learning Probability/Statistics Fairness/Bias