AI & Electronic Banking: What are the Rules and Regulations

On Demand Course

Instructor: Kevin Olsen

Duration: 1 HR

What You'll Learn

Artificial intelligence is already embedded in electronic banking. From fraud detection and ACH risk scoring to RTP® decisioning, underwriting, sanctions screening, and customer engagement, AI is compressing decision windows and raising the regulatory stakes. This course cuts through the noise and focuses on what actually governs AI use inside financial institutions. We will examine how existing regulatory frameworks apply to AI in electronic banking, including model risk management expectations, consumer protection requirements, BSA/AML obligations, third-party risk oversight, and fair lending considerations. We will also provide an overview of how agencies such as the FDIC, OCC, Federal Reserve, and NCUA are approaching AI supervision.

Topics covered in this course

AI Applications in Electronic Banking
Regulatory Expectations and Supervisory Focus
Model Risk, BSA/AML, and Consumer Protection
Third-Party and Fair Lending Considerations

About the Author:

Kevin Olsen

Kevin Olsen is a certified AAP (Accredited ACH Professional), APRP (Accredited Payments Risk Professional), NCP (National Check Professional), as well as a certified NCP Instructor with additional computer network, database, and security settings. Over the past couple decades, Kevin has been involved with product creation, design, implementation, education, and consulting for multiple platforms within remote deposit capture, ACH, and faster payments. Kevin has worked with financial institutions of all sizes in multiple countries to create products services, departments, systems, teams, and results that help financial institutions become more productive, compliant, and secure.

On-Demand Course