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Index
1. Fairness: A History in Technology and the Real World
Fairness in Engineering and Technology
Community Norms
Equity and equality
Security
Privacy
Legal Responses to Fairness in Technology
Rules to Code By
Further Reading
2. Understanding fairness and the data science pipeline
Metrics for fairness
Measures of equity
Measures of privacy
Measures of security
Connections between equity, privacy, and security
Relationship of privacy and equity
Relationship of privacy and security
Relationship of equity and security
Relationship of accuracy to fairness values
Checklist of points of entry for fairness concerns in the data science pipeline
3. Fair Data
Ensuring data integrity
True measurements
Proportionality and Sampling Technique
Choosing appropriate data
Equity
Privacy
Security
Choosing the right dataset for a question and the right question for a dataset
Modeling low incidence events
Incomplete data in complex systems
Quality assurance for fair data
Measures of Discrimination
List of metrics
Stages of fairness interventions
Comprehensive data-acquisition checklist
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