Nidhi Hegde, PhD

Associate Professor, Faculty of Science - Computing Science

Winter Term 2023 (1820)

CMPUT 200 - Ethics of Data Science and Artificial Intelligence

★ 3 (fi 6)(EITHER, 3-0-3)

This course focuses on ethics issues in Artificial Intelligence ethics 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 before a technical treatment including implementation work. Prerequisite: CMPUT 174 or 274. Co-requisite: CMPUT 191.

LECTURE B1 (48985)

2023-01-05 - 2023-04-12
TH 11:00 - 12:20 (CAB 239)

CMPUT 605 - Topics in Computing Science

★ 3 (fi 6)(EITHER, 3-0-0)

LECTURE B03 (44366)

LECTURE B30 (50278)