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

October 20, 2026

Compliance Lending Operations Artificial Intelligence (AI)

Live Webinar

DateOct 20, 2026Duration90 minutes

08:00 AM PDT09:00 AM MDT

10:00 AM CDT11:00 AM EDT

Unlimited connections for your institution
Available on desktop, mobile & tablet
Take-away toolkit
Presenter’s contact info for questions

On-Demand Webinar

Unlimited & shareable access starting two business days after live stream
Available on desktop, mobile & tablet devices 24/7
Take-away toolkit
Ability to download webinar video
Presenter's contact info for questions

See Registration Options

Build AI-driven lending that is innovative, fair, and compliant.

Learn how to identify algorithmic bias before it creates regulatory, legal, and reputational risk. This webinar will equip financial institution leaders and compliance professionals with practical strategies to evaluate AI-driven credit decisions, mitigate fair lending risks, and strengthen oversight of automated underwriting and third-party AI solutions.

KEY WEBINAR TAKEAWAYS

How AI and machine learning can unintentionally create fair lending risks
Governance, testing, and monitoring practices that reduce algorithmic bias
Examiner expectations for AI oversight, documentation, and model risk management
Practical strategies for using AI responsibly while protecting consumers and the

BONUS MATERIALS

AI governance and oversight checklist
AI vendor due diligence questionnaire
Fair lending monitoring dashboard template
AI model documentation and examiner readiness guide

WEBINAR DETAILS

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.

WHO SHOULD ATTEND?

Senior executives
Fair lending officers
Compliance
Risk management
Lending managers
Loan servicing
Collections
Internal auditors
Board members
Audit and supervisory committees

TAKE-AWAY TOOLKIT

Employee training log
Interactive quiz
PDF of slides and speaker’s contact info for follow-up questions
Attendance certificate provided to self-report CE credits

NOTE: All materials are subject to copyright. Transmission, retransmission, or republishing of any webinar to other institutions or those not employed by your institution is prohibited. Print materials may be copied for eligible participants only.