A Practical AI Risk Assessment Framework

AI risk assessment doesn't have to be complex. This practical framework helps you identify and address the most critical risks.

The Framework

Follow these five steps:

**1. Identify** - List all AI systems and their purposes

**2. Classify** - Rate each by impact and likelihood of harm

**3. Analyze** - Understand root causes and potential consequences

**4. Mitigate** - Implement controls for high-risk systems

**5. Monitor** - Establish ongoing oversight and review cycles

Common AI Risks

Risk Matrix

Score each AI system on a scale of 1-5 for both likelihood and impact. Systems scoring above 15 (out of 25) require immediate attention and mitigation planning.