Organizations across EMEA face a fundamental challenge: building artificial intelligence systems that deliver innovation while meeting stringent regulatory requirements and maintaining stakeholder trust. The EU AI Act and GDPR create complex compliance landscapes where governance cannot be retrofitted - it must be embedded from design through deployment and monitoring.

Effective AI governance requires cross-disciplinary collaboration between legal, risk, operations and technology teams to address bias, ensure explainability and maintain human oversight throughout the AI life cycle.

In this session, industry leaders will explore:

• Building AI steering groups that align innovation with accountability;
• Implementing dynamic testing frameworks that detect bias, hallucination and ethical failures before models reach production;
• Creating governance toolkits that make compliance scalable while preserving the human-in-the-loop oversight essential for trustworthy AI deployment.