AI Risk Assessment Template

The AI Risk Assessment Template is the governed method for evaluating the risks associated with any AI‑supported workflow. It ensures every AI use case is assessed for bias, drift, data contamination, hallucination risk explain abilityexplainability, and regulatory exposure before it is deployed.

This template creates a consistent, repeatable, and defensible way to evaluate AI risk across the entire organization.

• Bias Risk —whether the model produces unfair or discriminatory outputs.
• Drift Risk — whether the model’s behavior changes over time without detection.
• Data Contamination Risk — whether training or inference data introduces privacy, IP, or compliance exposure.
• Hallucination Risk — whether the model generates fabricated or unsupported outputs.
• Explain ability Requirements — whether the model’s reasoning can be understood and defended.
• Regulatory Exposure — whether the use case triggers legal, compliance, or audit requirements.
• Evidence Requirements — what must be documented to defend the AI‑supported workflow.

This ensures AI is deployed with full awareness of operational, ethical, and compliance risks.