Transparency & Fairness in Algorithmic Lending

As banks adopt AI-driven lending, millions of borrowers face decisions made by algorithms they never see or understand.

This book examines how automated credit scoring works, where biases emerge, and what safeguards ensure transparency and fairness.

Learn how regulators, financial institutions, and borrowers can work together to prevent discrimination, protect data privacy, and build ethical systems that benefit society instead of marginalizing the vulnerable.