AI on Trial: Fair Lending, Compliance, and the Fight for Transparency in Mortgage Lending, July 9

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About the Event

Artificial Intelligence (AI) is transforming mortgage lending, accelerating efficiency and decision-making. However, its adoption introduces a critical challenge—transparency. In a heavily regulated industry, lenders must justify credit decisions to borrowers and regulators while ensuring AI models remain fair, accountable, and compliant.

Explainable AI (XAI) bridges the gap between AI-driven innovation and the need for interpretability, risk mitigation, and regulatory compliance. In this webinar we will explore how lenders can integrate XAI into underwriting, risk modeling, and fraud detection—enhancing transparency without sacrificing competitive advantage.

Date/Time:
Wednesday, July 9 (2:00 PM – 3:00 PM ET)

Objectives:
Understand why XAI is essential for regulatory compliance and AI-driven mortgage lending
Learn how XAI reduces bias, enhances accuracy, and fosters borrower trust
Explore key tools (e.g., SHAP, LIME) that make AI-driven decisions transparent and defensible
Examine real-world use cases where lenders have successfully implemented XAI
Anticipate emerging AI regulations and best practices for compliance

Experience Level:
Entry-Level
Intermediate

Target Audience:
Mortgage Executives
Compliance Officers
Risk Managers
Technology Leaders

Speaker(s):
Ruth Lee, President, Executive Business Consultant, Big Think
Lanette Martin, Counsel, Mitchell Sandler
Marty Green, Principal and Attorney, Polunsky Beitel Green
Heather Hughes, SVP, Fair Lending and Responsible Banking Officer, First Financial Bank