MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020 (English)

   Wednesday, December 04, 2024   

Starting a new Lecture Notes Series on MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020

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MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020 By Lecture Notes together!

Lecture 1: Introduction to Ethics in Machine Learning

Lecture 2: Exploring Fairness in Machine Learning: Background

Lecture 3: USAID Appropriate Use Framework, Exploring Fairness in Machine Learning

Lecture 4: Solar Lighting Example, Exploring Fairness in Machine Learning

Lecture 5: Fairness Criteria, Exploring Fairness in Machine Learning

Lecture 6: Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning

Lecture 7: Case Studies with Data: Mitigating Gender Bias on the UCI Adult Dataset

Lecture 8: Pulmonary Health Case Study: Bias Exploration, Exploring Fairness in Machine Learning

Lecture 9: Case Study: Identifying and Mitigating Unintended Demographic Bias in Machine Learning for NLP