Computer Science and Engineering

CSE 146 Ethics and Algorithms

Provides an introduction to data-driven and algorithmic decision making, and ethical frameworks for evaluating automated systems. Emphasis on algorithmic literacy, critical analysis, and fundamental limitations of automated decision making. Covers concepts including predictive and causal modeling. Discusses bias, fairness, interpretability, privacy, and accountability. Finally, discusses notions of autonomy and algorithmic auditing.


Prerequisite(s): CSE 101; and CSE 107 or STAT 131. CSE 142 and CSE 140 are recommended.