Fair Lending Risks in AI-Driven Credit Decisions: Bias by Algorithm

Artificial intelligence is rapidly transforming the lending process, helping financial institutions improve efficiency, consistency, and speed. But as AI and machine learning become more deeply integrated into credit underwriting, pricing, and decision-making, they also introduce new fair lending risks that regulators and litigators are watching closely. Even when institutions do not intentionally discriminate, algorithms trained on historical data or designed without appropriate oversight can produce unintended disparate impacts and create significant compliance, reputation, and legal exposure.  Whether your institution develops AI internally or relies on third-party fintech solutions, this session will provide practical strategies to innovate responsibly while maintaining fair, transparent, and defensible lending practices.