Module 3: Pedagogical Framework for Addressing Ethical Challenges

This module introduces a framework for approaching fairness in machine learning, including defining and checking for fairness and considerations when choosing between different fairness implementations.


  • Provide a framework for approaching issues related to bias in data
  • Provide guidance on defining and checking for fairness
  • Help students identify how to choose the right technique for the application