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Popular Definition: Statistical Parity
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Classroom Contents
Algorithmic Fairness From The Lens Of Causality And Information Theory
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- 1 Intro
- 2 Motivation: Machine Learning in High-Stakes Applications
- 3 How to identify/explain sources of disparity in machine learning models?
- 4 Outline
- 5 Popular Definition: Statistical Parity
- 6 Conditional Dependence can sometimes falsely detect bias (misleading dependencies) even when a model is "causally" fair Example: Causally fair model
- 7 One causal measure that satisfies all desirable properties Theorem: Our proposed measure of non-exempt disparity, given by
- 8 Some intuition on our proposed measure from causality
- 9 Non-negative decomposition of total "causal" disparity Theorem 2 (pictorially illustrated)
- 10 Simulation: Four types of disparities present
- 11 Numerical Computation of Fundamental Limits on the Tradeoff 1.4
- 12 Reliable Machine Learning
- 13 Partial Information Decomposition + Causality
