CSI 5195 Ethics for Artificial Intelligence

3 units
Computer Science
Faculty of Engineering
Students critically examine topics in applied AI ethics through the lens of contemporary philosophy and applied ethics texts, popular media articles, and technology case studies. Topics may include: bias and fairness; explainability; accountability; privacy; deception; trust/trustworthiness; and metaphors. Methods for applying ethical considerations in technology design are introduced through hands-on design projects. (Category E)

Components:

Lecture

Requirements:

Courses CSI 5195 , DTI 5310 , DTO 5310 , SYS 5295 cannot be combined for units.

Previously Offered Terms:

Winter
All Professors
A- Average (8.308)
Most Common: A- (43%)
65 students

P

S

NS

F

D

C

B

A-

A+

Nour El Kadri

Winter 2024 - W00

A- Average (8.045)
Most Common: A- (73%)
22 students

P

S

NS

F

D

C

B

A-

A+

Channarong Intahchomphoo

Winter 2023 - W00

A- Average (8.207)
Most Common: A- (34%)
29 students

P

S

NS

F

D

C

B

A-

A+

Unknown Professor

Winter 2022 - W00

A Average (8.929)
Most Common: A (50%)
14 students

P

S

NS

F

D

C

B

A-

A+