Advanced AI Risk Management: Validation, Governance & Emerging Risks

May 7, 2026

IT & Cybersecurity Compliance Human Resources Operations Artificial Intelligence (AI)Senior Management & Directors Managers & Supervisors

Live Webinar:

DateMay 7, 2026Duration90 minutes

12:00 PM PDT01:00 PM MDT

02:00 PM CDT03:00 PM 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

Artificial intelligence offers powerful advantages, but unmanaged risk can undermine compliance and trust.

It’s important to be able to identify, validate, and govern AI systems effectively. Using real-world case studies, this cutting-edge presentation will demonstrate strategies to mitigate algorithmic bias, data vulnerabilities, and other emerging threats. Participants will learn how to apply sound model validation and governance practices that align with regulatory expectations and institutional policies.

KEY WEBINAR TAKEAWAYS

Artificial intelligence and machine learning model validation frameworks tailored for vendor-based tools: ensure accuracy and compliance without building in-house expertise
Scalable governance structures for overseeing AI adoption: address regulatory expectations while minimizing operational disruptions
How to mitigate emerging risks like algorithmic bias in lending and data privacy threats through actionable strategies drawn from real financial sector case studies

This webinar is part of the AI Series

BONUS MATERIALS

Sample AI governance policy template: customizable document outlining oversight, ethical guidelines, and integration with existing risk management processes for small financial institutions
AI risk assessment checklist: step-by-step tool for evaluating vendor AI models, including bias detection, data security audits, and regulatory alignment
Curated resource guide: key regulatory links (e.g., FDIC's AI risk management guidance, NCUA's cybersecurity resources) and references to emerging threat reports for ongoing reference

WEBINAR DETAILS

Is your financial institution's AI adoption exposing you to hidden risks that could derail compliance and erode trust? Don't let emerging threats catch you off guard. Attend this presentation to master advanced AI risk management, including model validation, governance, and mitigation of emerging threats like algorithmic bias and data vulnerabilities. Through real-world financial sector case studies, learn practical strategies to safeguard operations, ensure compliance, and turn AI risks into strategic advantages that strengthen your competitive edge.

WHO SHOULD ATTEND?

Chief risk officers and compliance officers
Senior executives and board members focused on technology and regulatory oversight
Lending and operations managers evaluating AI tools for fraud detection and accountholder service

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.