Governing dynamics: AI governance for modern risk leaders

Description: 

Artificial intelligence is moving from experimentation into everyday business processes, creating new governance pressures for audit, risk, infosec, and compliance teams. As organizations explore agentic AI, automated decision-making, and rapidly changing operating models, leaders must define oversight mechanisms that enable innovation without losing control.

In this session, we will examine how risk leaders can govern AI dynamically, aligning strategy, policy, controls, and assurance with the speed of technology change. Attendees will gain a practical view of how to identify AI-related risks, clarify ownership, strengthen cross-functional accountability, and translate governance principles into measurable action. Rather than treating AI governance as a one-time policy exercise, this webinar will show how organizations can build adaptive governance models that support responsible adoption, resilient decision-making, and proactive risk management.

Learning objectives: 

• Analyze the emerging governance challenges created by enterprise and agentic AI adoption.
• Map AI risks to practical ownership, policy, control, and assurance responsibilities.
• Build a dynamic AI governance framework that supports innovation while strengthening oversight.
• Identify actionable steps for audit, risk, infosec, and compliance teams to monitor AI use effectively.

CPE credit(s): 1 CPE upon live viewing and participation. CPEs not offered on-demand.

Field of study: Auditing

Instructional delivery method: Group Internet Based

Level: Basic

Prerequisite: None

Advanced preparation: None