CMPUT 200 - Ethics of Data Science and Artificial Intelligence

3 units (fi 6)(EITHER, 3-0-3)

Faculty of Science

This course focuses on ethics issues in Artificial Intelligence (AI) and Data Science (DS). The main themes are privacy, fairness/bias, and explainability in DS. The objectives are to learn how to identify and measure these aspects in outputs of algorithms, and how to build algorithms that correct for these issues. The course will follow a case-studies based approach, where we will examine these aspects by considering real-world case studies for each of these ethics issues. The concepts will be introduced through a humanities perspective by using case studies with an emphasis on a technical treatment including implementation work. Prerequisite: one of CMPUT 191 or 195, or one of CMPUT 174 or 274 and one of STAT 151, 161, 181, 235, 265, SCI 151, MATH 181, or CMPUT 267.

No syllabi

Fall Term 2024

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE A1
(53910)
180
2024-09-03 - 2024-12-09 (TR)
11:00 - 12:20

Labs

Section Capacity Class times Login to view Instructor(s) and Location
LAB D01
(53911)
32
2024-09-03 - 2024-12-09 (W)
14:00 - 16:50
LAB D02
(53912)
148
2024-09-03 - 2024-12-09 (R)
17:00 - 19:50

Winter Term 2025

Lectures

Section Capacity Class times Login to view Instructor(s) and Location
LECTURE B1
(75703)
180
2025-01-06 - 2025-04-09 (TR)
11:00 - 12:20

Labs

Section Capacity Class times Login to view Instructor(s) and Location
LAB H01
(75704)
156
2025-01-06 - 2025-04-09 (T)
17:00 - 19:50
LAB H02
(77976)
24
2025-01-06 - 2025-04-09 (F)
14:00 - 16:50