AI Fairness in Practice
This workbook addresses the challenge of defining AI fairness, proposing a context‑based and society‑centered approach. It emphasizes equality and non‑discrimination as core principles and identifies various types of fairness concerns across the AI project lifecycle. It advocates for bias identification, mitigation, and management through self‑assessment, risk management, and fairness criteria documentation.