As organizations rapidly adopt AI tools like Copilot and generative AI platforms, the need for clear governance has become critical. Without the right guardrails, businesses risk data exposure, compliance issues, and inconsistent use across teams.
This session will explore how organizations can establish practical AI governance frameworks that balance innovation with control. We’ll discuss key considerations such as policy development, risk management, responsible AI use, and how to enable employees to confidently and securely use AI in their day-to-day work.
Designed for business leaders, IT professionals, and decision-makers, this webinar will provide actionable insights you can take back to your organization immediately.
[Webinar 5369]
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Chris Mawata
Chris has over 30 years of IT experience, including 17 years of teaching at the university level, and 15 years of training Java and Big Data programmers. As a Learning Tree instructor, Chris has authored over 40 courses. As a consultant, he runs a 20-node cluster on which he has several Big Data frameworks installed. He has published peer-reviewed papers in image processing, artificial intelligence, and pure mathematics.
AI Governance for the Modern Workforce Webinar FAQs
- Understand what AI governance means in a real-world workforce context (not just theory)
- Identify common risks associated with AI adoption—and how to mitigate them
- Learn how to create practical governance policies that don’t slow innovation
- Explore approaches to responsible AI use, compliance, and data protection
- Gain insight into how organizations are enabling employees to use AI safely and effectively