Exploring Fairness in Machine Learning for International Development

Module 4: Case Studies with Data

This module presents case-studies from research conducted by the MIT-CITE team and its collaborators.

Objectives

• Demonstrate real-world applications of the framework

Sections

• Case Study with Data: Mitigating Gender Bias on the UCI Adult Database
• Case Study on Pulmonary Health
• Case Study on Natural Language Processing: Identifying and Mitigating Unintended Demographic Bias in Machine Learning for NLP