AI compliance is the process of ensuring that artificial intelligence systems follow applicable laws, regulations, industry standards, and an organization’s internal policies. It can cover how AI systems collect and use data, make decisions, protect sensitive information, document their operation, and manage risks throughout their lifecycle.
Compliance requirements vary by application and jurisdiction. A financial institution may need controls around automated decisions and customer data, while a healthcare organization may focus on privacy, security, and accountability. AI compliance commonly involves risk assessments, documentation, monitoring, human oversight, and audit trails. Related concepts include AI governance, responsible AI, model risk management, data privacy, and algorithmic accountability.
