AI is no longer limited to chatbots and office tools. It is showing up in everyday workflows, customer interactions, meeting assistants, AI agents, and even wearable devices. As these tools become more embedded in daily operations, organizations need governance that moves beyond written policies and into real-world decision-making. This session will explore timely AI governance issues including shadow AI, wearable AI, AI agents, data exposure, human oversight, accountability, and operational risk. Attendees will be guided through practical, real-world AI scenarios designed to help them think critically about what should be allowed, controlled, escalated, or restricted in their own organizations. Participants will leave with a practical governance framework they can use as a starting point for strengthening AI oversight, risk management, and responsible adoption. Attendees will gain a clearer understanding of the most relevant AI governance risks today and walk away with a practical framework for managing AI use in real business environments.

Speakers