Learn · Exploring Fairness in Machine Learning for International Development
Lecture 7 of 9Case Study with Data: Mitigating Gender Bias on the UCI Adult Database23 min
Case Studies with Data: Mitigating Gender Bias on the UCI Adult Dataset
Dr. Richard Fletcher and others · Massachusetts Institute of Technology
Credits and licence
- From
- Exploring Fairness in Machine Learning for International Development, Massachusetts Institute of Technology (at MIT OpenCourseWare)
- Licence
- CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only.
- Attribution
- Dr. Richard Fletcher, Prof. Daniel Frey, Dr. Mike Teodorescu, Amit Gandhi, Audace Nakeshimana. Exploring Fairness in Machine Learning for International Development. Spring 2020. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
- Who can watch
- Teens profiles and older. How courses are placed
All the lectures
- Introduction to Ethics in Machine Learning
- Exploring Fairness in Machine Learning: Background
- USAID Appropriate Use Framework, Exploring Fairness in Machine Learning
- Solar Lighting Example, Exploring Fairness in Machine Learning
- Protected Attributes and "Fairness through Unawareness," Exploring Fairness in Machine Learning
- Fairness Criteria, Exploring Fairness in Machine Learning
- Case Studies with Data: Mitigating Gender Bias on the UCI Adult Dataset
- Pulmonary Health Case Study: Bias Exploration, Exploring Fairness in Machine Learning
- Case Study: Identifying and Mitigating Unintended Demographic Bias in Machine Learning for NLP