CS 384: Seminar on Ethical and Social Issues in Natural Language Processing (LINGUIST 287)

Computer Science Stanford University 4.0 credits

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.

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