Artificial intelligence can only be as trustworthy as the data, controls, and governance that support it.
Many organizations still run Data Governance, Responsible AI, and AI Governance as separate initiatives, creating gaps and inconsistencies.
In this online session on May 21, 2026 at 17:30, Mathias Vercauteren shows how to connect the dots and build one integrated governance framework.
You will leave with practical approaches, examples, and templates you can apply immediately.
Why attend
- See how to reduce risk created by siloed governance initiatives.
- Get a clear structure to align data quality, ethics, and AI lifecycle controls.
- Learn how to make governance workable in real organizations, not only on paper.
- Take away real-world examples and implementation templates.
- Strengthen trust in AI outcomes through consistent oversight and accountability.
What participants will learn
- Build an integrated framework combining Data Governance, AI Governance, and Responsible AI.
- Connect data quality requirements with ethical principles and AI lifecycle controls.
- Define policies, standards, and oversight structures that work together, not in silos.
- Apply strategies to reduce bias and risk through unified data and AI controls.
- Use practical examples and templates to implement integrated governance in practice.
Earn CPEs
Earn up to 1.5 CPEs (full attendance required).
Please note, if you do not attend the entire program or fail to complete the required process, no CPEs can be attributed. Applying for CPEs is the participant’s responsibility.
Price
This event is free. You can register through the blue button.
More information
For additional questions, contact us via our social media or contact ISACA Belgium Education Support at eb.acasi@noitacude
