Session 6: Data and Fairness
Can data be unfair? Yes. Learn how data can help or hurt people, and the responsibilities that come with using information.
Your Progress
Learning Objectives
By the end of this session, you will be able to:
- Explain how data collection and analysis can be biased against certain groups
- Identify real-world examples of data being used unfairly
- Understand the concept of algorithmic bias
- Articulate the responsibilities of people who work with data
Why This Matters
Data is powerful. It can improve lives or cause harm. Understanding fairness in data is not optional — it is a moral responsibility.
Session Lessons
Can Data Be Unfair?
Data seems objective, but the people who collect, analyze, and use it make choices that can introduce unfairness.
~30 minutes Discussion
Who Is Missing From the Data?
When certain people are not represented in data, decisions based on that data can harm them.
~30 minutes Activity
When Algorithms Decide
Algorithms make decisions about loans, jobs, schools, and justice. What happens when they are biased?
~30 minutes Discussion
Being a Responsible Data User
Create your own principles for using data ethically. What does it mean to use data responsibly?
~30 minutes Activity