AI Glossary
AI Compliance
The process of ensuring AI systems meet applicable laws, regulations, standards, and organizational requirements.
AI Compliance
Overview
Organizations operate within a framework of laws, regulations, standards, and contractual obligations.
Artificial intelligence systems are increasingly becoming part of that framework.
AI Compliance refers to the process of ensuring AI systems meet applicable legal, regulatory, industry, and organizational requirements.
A helpful way to think about compliance is following building codes.
Building codes establish minimum requirements designed to protect safety and reliability.
Similarly, compliance requirements help organizations operate responsibly within defined expectations.
AI compliance may involve privacy regulations, security requirements, governance frameworks, industry standards, and internal policies.
As governments and regulatory bodies continue developing AI-related requirements, compliance is becoming an increasingly important part of AI adoption.
Organizations that prioritize compliance are often better positioned to reduce risk and build trust.
Why It Matters
AI compliance helps organizations meet external requirements and reduce legal and regulatory risk.
Real-World Example
A company may review an AI system to ensure it complies with privacy regulations before deployment.