Compliance
The process of ensuring AI systems meet regulatory requirements, industry standards, and organizational policies. AI compliance is becoming increasingly complex as regulations proliferate.
Why It Matters
Non-compliance with AI regulations like the EU AI Act can result in fines up to 7% of global revenue. Compliance is no longer optional for enterprises using AI.
Example
A company maintaining documentation of all AI systems, conducting regular bias audits, providing transparency reports, and ensuring human oversight for high-risk applications.
Think of it like...
Like food safety compliance for restaurants — there are inspections, documentation requirements, and standards that must be met, with consequences for violations.
Related Terms
AI Governance
The frameworks, policies, processes, and organizational structures that guide the responsible development, deployment, and monitoring of AI systems within organizations and across society.
EU AI Act
The European Union's comprehensive regulatory framework for artificial intelligence, establishing rules based on risk levels. It categorizes AI systems from minimal to unacceptable risk with corresponding compliance requirements.
GDPR
General Data Protection Regulation — the European Union's comprehensive data protection law that gives individuals control over their personal data and imposes strict obligations on organizations handling that data.
Risk Assessment
The systematic process of identifying, analyzing, and evaluating potential risks associated with an AI system. Risk assessment considers both the likelihood and impact of potential harms.
Audit
A systematic examination of an AI system's data, algorithms, processes, and outcomes to verify compliance, fairness, accuracy, and adherence to stated principles.