Exploring Fairness in Machine Learning | International Development

Discover the importance of fairness and bias considerations in applying machine learning, especially in international development. Build your capacity with this valuable course.

Introduction

This course explores the topics of bias and fairness in machine learning (ML) and the appropriate use of ML, particularly in the context of international development. The MIT CITE team has developed capacity-building activities and materials to help students and faculty build their understanding in these areas.

Highlights

• Covers content through four modules that can be integrated into existing courses over a one to two week period
• Aims to build the capacity of students and faculty on the topics of bias and fairness in machine learning
• Focuses on the appropriate use of machine learning, especially in the context of international development

Recommendation

This course is recommended for students and faculty interested in understanding the importance of fairness and bias considerations in the application of machine learning, particularly in the field of international development. It provides valuable insights and practical guidance on navigating these critical issues.