QCB Artificial Intelligence Guideline
Obligations Covered
AI Governance and Risk Management #
First binding AI-specific regulation in the GCC. All QCB-licensed financial entities must establish AI governance frameworks, risk management systems, and obtain QCB pre-approval before deploying any AI system. High-risk AI systems face additional scrutiny and may require sandbox testing.
Requirements
| Requirement | Details |
|---|---|
| AI strategy | Firms must establish and periodically review an AI strategy aligned with business objectives |
| Governance function | Dedicated AI oversight function with clear accountability; board and senior management responsible for AI outcomes |
| Risk management | Identify, assess, and mitigate AI risks including bias, discrimination, privacy, security, and lack of transparency |
| High-risk categorization | Identify and categorize high-risk AI systems based on guideline criteria; apply stricter scrutiny |
| Pre-approval | QCB approval required before launching any new AI system |
| High-risk pre-approval | Prior QCB approval required for purchasing, licensing, or outsourcing high-risk AI systems |
| Sandbox testing | QCB may require sandbox testing before granting approval for high-risk systems |
| AI register | Maintain an updated register of all AI systems in use |
| Life cycle management | Governance covering development, deployment, data governance, security, and ongoing monitoring |
AI Transparency and Disclosure #
Requirements
| Requirement | Details |
|---|---|
| Annual disclosure | Submit annual AI disclosures to QCB detailing system risks, impact assessments, providers, and operations |
| On-request disclosure | Provide AI system information to QCB upon request |
| Customer notification | Disclose AI involvement to customers when AI systems affect their interactions or decisions |
| High-risk transparency | Heightened disclosure requirements for high-risk AI systems |
Human Oversight of AI Systems #
Requirements
| Requirement | Details |
|---|---|
| Human supervision | Mandatory protocols for human supervision of all AI systems |
| Intervention capability | Human intervention capabilities required, especially for high-risk systems |
| Accountability | Board and senior management accountable for AI system outcomes |