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Introduction
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Classroom Contents
A Tool for Data Scientists, Decision Makers, and Journalists to Assess Fairness in ML Models
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- 1 Introduction
- 2 What is ODSC
- 3 What does this mean
- 4 A growing appetite to understand ML
- 5 What is this work
- 6 Example of a data scientist
- 7 Recourse
- 8 Immutable variables
- 9 Why does that matter
- 10 Right to an Explanation
- 11 Ethical Data Scientists
- 12 Explanations
- 13 Optimization Approach
- 14 Optimization Equation
- 15 Cost
- 16 Optimization
- 17 Problems
- 18 Demographic Differences
- 19 Confounding
- 20 Conclusion
