Compliance-aware AI Systems
Definition
Compliance-aware AI systems are AI systems designed to operate in accordance with legal, regulatory, and organizational requirements by embedding compliance constraints directly into their architecture and runtime behavior.
Purpose
The purpose of compliance-aware AI systems is to reduce regulatory risk, ensure lawful and ethical operation, and enable the use of AI in regulated environments by making compliance an integral part of system design rather than an afterthought.
Key Characteristics
- Explicit encoding of regulatory and policy constraints within system logic
- Enforcement of compliance rules at runtime rather than solely through external controls
- Integration with access control, auditability, and data governance mechanisms
- Ability to demonstrate and document compliance for internal and external stakeholders
- Separation between business logic and compliance enforcement layers
Usage in Practice
In practice, compliance-aware AI systems are used in regulated industries such as finance, healthcare, and the public sector to ensure that AI-driven decisions and actions adhere to applicable laws, standards, and organizational policies.
One implementation of this concept is offered by Kenaz through the GDPR & HIPAA Compliance service.