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Case Study: Identifying and Mitigating Unintended Demographic Bias in Machine Learning for NLP
Description
MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020
Instructor: Audace Nakeshimana
View the complete course: https://ocw.mit.edu/RES-EC-001S20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX
This video explores a case study on bias in natural language processing and demonstrates techniques to mitigate word embedding bias.
License: Creative Commons BY-NC-SA
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