Artificial Intelligence is rapidly transforming financial services across the UAE. As adoption accelerates, so do regulatory expectations around governance, transparency, accountability, and oversight.

Financial institutions are now expected to demonstrate that their AI systems are governed responsibly through effective controls, continuous oversight, and audit-ready evidence. Organizations that prepare early will be better positioned to strengthen regulatory readiness, reduce risk, and build stakeholder confidence.

The Central Bank of the UAE (CBUAE) has introduced new guidance on Consumer Protection and the Responsible Adoption of AI and Machine Learning, establishing clear expectations for how Licensed Financial Institutions (LFIs) govern, oversee, and manage AI-driven systems.

For banks, fintechs, insurers, and other financial institutions operating in the UAE, this guidance marks an important shift from policy-based governance to demonstrable compliance. Organizations are now expected to show evidence of accountability, fairness, transparency, data integrity, and human oversight through effective controls, documented processes, and audit-ready practices.

Join this executive briefing to understand the implications of the new CBUAE requirements and how they impact AI and GenAI initiatives across the financial sector. Our experts will share practical insights into regulatory expectations, governance challenges, risk considerations, and the steps institutions can take to strengthen AI governance while enabling responsible innovation.

Attendees will leave with a clear understanding of how to align their AI governance program with CBUAE expectations, strengthen regulatory readiness, and confidently demonstrate responsible AI adoption to regulators, auditors, customers, and stakeholders.

What You'll Learn

• Understand what the new CBUAE AI governance requirements mean for your organization's AI and GenAI initiatives.

• Identify governance gaps and regulatory risks across AI-powered systems, including GenAI applications, chatbots, copilots, and autonomous agents.

• Explore practical ways to implement accountability, fairness, transparency, data integrity, and human oversight across AI systems.

• Discover the controls, monitoring mechanisms, and audit-ready evidence needed to demonstrate responsible AI adoption.

• Gain a practical roadmap for strengthening AI governance, improving regulatory readiness, and supporting innovation with confidence.