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Case Study on Natural Language Processing: Identifying and Mitigating Unintended Demographic Bias in Machine Learning for NLP (M-I-T)

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Case Study on Natural Language Processing: Identifying and Mitigating Unintended Demographic Bias in Machine Learning for NLP (M-I-T)

Case Study on Natural Language Processing: Identifying and Mitigating Unintended Demographic Bias in Machine Learning for NLP (M-I-T)

Course: Exploring Fairness in Machine Learning for International Development (Spring 2020) (M-I-T)

Discipline: Applied Sciences

Institute : MIT

Instructor(s) : Dr. Richard Fletcher, Prof. Daniel Frey, Dr. Mike Teodorescu, and Amit Gandhi

Level: Graduate

Exploring Fairness in Machine Learning for International Development (Spring 2020) (M-I-T)