Toggle navigation sidebar
Toggle in-page Table of Contents
An Introduction to Responsible Machine Learning
An Introduction to Responsible Machine Learning
Introduction
Responsible Machine Learning
Machine Learning Preliminaries
Model Evaluation
Model Selection
Cost-Sensitive Learning
Fairness
Algorithmic Fairness
Group Fairness Metrics
Fairness-Aware Machine Learning
Pre-processing Algorithms
Constrained Learning Algorithms
Post-processing Algorithms
Interdisciplinary Perspectives on Fair-ML
Philosophy: What is “Fair”?
Law: Fairness and Discrimination
Science and Technology Studies: Abstraction Traps
Tutorials
Measuring Group Fairness
Fairness-Aware Classification
Misc
List of Harms
repository
open issue
Index