Should AI Governance Be Separate from Data Governance? A Practical Look at Integration & Risk

As AI rapidly evolves, so does the debate around AI governance vs. data governance. Should they be managed separately—or integrated under one unified framework? In this insightful session, we explore real-world examples, like Microsoft’s split approach, and examine the pros, cons, and organizational trade-offs of managing these governance functions independently or together.Drawing from in-depth research, global frameworks, and a six-hour workshop recently delivered in Washington, Dr. Irina Steenbeek talk sheds light on why AI is fundamentally data—and why alignment between governance frameworks is increasingly crucial. It also introduces a compelling case for including risk governance as a third critical pillar.Interested in learning more? Watch the full webinar, Reimagining Data Governance for Faster Business Outcomes, here: https://snowplow.io/events/reimagining-data-governance-for-faster-business-outcomes