Regulatory Compliance and AI Risk Classification
Understand the principles of AI risk classification and regulatory compliance within business settings. This lesson helps you learn how to differentiate AI use cases by potential impact, apply appropriate governance, and identify when legal and compliance involvement is needed. You will explore risk tiers from minimal to high and discover how to align oversight, documentation, and monitoring with each classification to manage AI risks effectively.
An internal meeting summarizer and an assistant that influences customer eligibility decisions arrive in the same intake queue. They may use similar AI capabilities, but their potential consequences differ sharply. AI risk classification is a method for grouping AI use cases by their potential impact so that review, oversight, and compliance work match the risk.
For the guidance assistant, the accountable business owner and AI governance council must classify the proposed use before approval. The classification does not provide a legal conclusion. It creates an early routing decision for the organization’s legal, compliance, risk, and business reviewers.
Risk tiers set governance depth
A useful risk-based pattern has four tiers. An unacceptable or prohibited tier covers uses the organization or applicable requirements determine must not proceed. A high-risk ...