AI Risk Management Framework

A structured approach to identifying and mitigating AI-related risks.

AI Inventory

Maintain a registry of all AI tools and integrations:

Data Classification

Define what data can be sent to AI systems:

• **Public** - Can be freely shared
• **Internal** - Requires approval
• **Confidential** - Never share with external AI
• **PII** - Strict anonymization required

Output Validation

For high-stakes decisions:

• Require human validation before action
• Document AI recommendations vs. final decisions
• Track accuracy over time
• Establish escalation procedures

Incident Playbooks

Prepare response plans for:

• AI system failures
• Hallucination incidents
• Bias discoveries
• Data breach scenarios