Seminar on Ethical and Social Issues in Natural Language Processing
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.
CS 384
Units: 3–4
See When It's Offered opens a new window opens in a new tab
Typically Offered
Not Available
Grading Basis
Letter or Credit/No Credit
Class Level
Graduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None