AI Governance: Who Controls What AI Can Do? | 3rd Europe Huddle

3rd EU Huddle – AI Governance: Who Controls What AI Can Do?

Everyone is jumping on the AI bandwagon. But as AI becomes part of how teams build, test, and deliver software, an important question follows:

Who decides what AI can and cannot do?

This huddle explores what leadership and governance look like in the AI era — and how organizations can bring structure, accountability, and trust to AI adoption.

Event Details

• Date: 24 September 2026
• Time: 04:00 PM – 06:00 PM CET
• Online

Session – AI Governance

Speaker: Aditi Agrawal, Senior Director of Quality Engineering & Automation at Myridius

The session will explore why AI governance matters and what it takes to build a framework around how AI is used.

Aditi will cover:

• Why AI Governance Matters – Understanding the need for governance as AI adoption grows.
• The 3 Pillars of Governance – A practical framework for thinking about AI governance.
• Real-Life Example – Bringing the concepts to life through a real-world example.
• Closing – Key considerations for leaders navigating AI adoption.

How This Huddle Solves Your Problem

• AI adoption is moving faster than your governance: Understand why governance needs to evolve alongside AI.
• You’re unsure where leadership fits in: Explore what leadership and accountability look like in an AI-driven environment.
• AI decisions feel difficult to control: Learn how governance can provide structure around what AI can and cannot do.
• You need a practical starting point: Explore the three pillars of governance through a real-life example.

Why Show Up on 24 September?

• Because adopting AI without thinking about governance can create new challenges for teams and leaders.
• Because AI governance is becoming a leadership conversation, not just a technical one.
• Because you’ll get a practical framework through the three pillars of governance.
• Because a real-life example can make the challenges of AI governance easier to understand.
• Because responsible AI adoption starts with knowing where to draw the boundaries.

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