AI in Banking: Managing Risk & Regulation

AI is transforming banking — but are your risk and compliance frameworks ready to keep up? From chatbots to credit models, financial institutions are racing to harness artificial intelligence. But with great innovation comes great scrutiny. Regulators, risk managers, and boards are all asking the same questions: Is it fair? Is it explainable? Is it safe?

Join us for an insightful and practical 90-minute webinar that dives deep into the risks, rules, and responsibilities surrounding AI adoption in U.S. banking. We’ll translate regulatory guidance into real-world best practices, explore model governance in the age of machine learning, and equip your institution with the tools to stay both compliant and competitive.

Key Topics We'll Explore:

• Understanding AI in Banking
  • Use cases
  • Benefits
  • Why the stakes are higher than ever
• Risk Categories
  • Bias
  • Explainability
  • Cybersecurity
  • Operational risks
• Regulatory Expectations
  • What OCC, FRB, CFPB, and global regulators are saying about AI
• Model Risk Management 2.0
  • How SR 11-7 applies to machine learning
• Governance & Accountability
  • Who’s responsible for what, and how to prove it
• Assessment Tools & Frameworks
  • NIST AI RMF, FAIR, and internal control checklists
• Ongoing Monitoring & Third-Party Risk
  • Managing vendors and evolving models responsibly

Who should attend:

• Risk and Compliance Officers
• Innovation and Product Teams
• Information Security & IT Leaders
• Legal & Regulatory Affairs Staff
• Executives and Board Members overseeing digital transformation

*This program does NOT qualify, nor meet the National Standard for NASBA accreditation.