- Privacy and convenience vs big data
- In Module 1, we are going to discuss what true anonymity and privacy mean in machine learning
- Protecting Privacy: Theories and Methods
- In Module 2, we are going to take a deeper look at dataset security. We will also look into methods to add privacy to existing and new datasets to protect those individuals in them
- Building Transparent Models
- In Module 3, we will discuss putting ethical, private models into practice. We will explore the explainable AI movement as well as tradeoffs for the teams putting together these algorithms