Seminar on Ethical and Social Issues in Natural Language Processing
Download as PDF
Course Description
Seminar covering issues in natural language processing related to ethical and social issues and the overall impact of these algorithms on people and society. Topics include: bias in data and models, privacy and computational profiling, measuring civility and toxicity online, computational propaganda, manipulation and framing, fairness/equity, power, recommendations and filter bubbles, applications to social good, and philosophical foundations of ethical investigation. Prerequisites: CS 224N and 224U.
Cross Listed Courses
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
4
Course Repeatable for Degree Credit?
No
Course Component
Seminar
Enrollment Optional?
No
Programs
LINGUIST287
is a
completion requirement
for:
- (from the following course set: )