Lessons learned one year after the EU AI Act

This keynote explores what really happens when AI, ethics, and compliance collide one year after the EU AI Act came into force. Moving beyond legal theory, it examines how organizations have had to redesign their data governance, model risk management, and AI operating models to meet new ethical and regulatory expectations.

Rather than treating compliance as a checklist, the session looks at how questions of fairness, transparency, accountability, and data protection now shape how AI systems are built, deployed, and governed. It highlights how ethical principles are being translated into concrete controls inside data pipelines, model development, and cloud platforms.