This webinar provides a practical, risk-based AI governance framework for financial services firms and compliance professionals to adopt AI while managing complex risks. It moves beyond treating AI governance solely as an IT issue, instead grounding it in existing regulatory obligations (like those from the SEC and FINRA) and fiduciary duties. The program will detail the eight essential questions every framework must answer, apply the Three Lines of Defense model (Use, Supervision, Validation), and provide strategies for vendor due diligence and risk assessment.
Attendees will gain practical steps for risk mitigation, including red-teaming your AI and implementing the five essential governance documents needed for compliance (e.g., AI Use Policy, Use-Case Inventory).
Learning objectives:
1) Explain the purpose of AI governance and the eight essential questions for designing an effective risk management framework.
2) Identify key AI risks, including data without consent and vendor due diligence failure, and apply the Three Lines of Defense model for mitigation.
3) Detail practical steps for AI risk mitigation, including upskilling and red teaming, to meet current legal and compliance obligations.
Speakers:
Beth Haddock, Chief Legal Officer @ AdvisorEngine
Suleman Din, Advisor Intelligence Lead @ AdvisorEngine
