Risk Assessment
AI Risk Assessment Matrix
Effective Date: February 2026
Structured operational framework for identifying, classifying, and mitigating AI risks across all systems.
Risk Dimensions
Likelihood
Low · Medium · High
Impact
Low · Moderate · Severe
Sensitivity
Cultural · Youth · Legal · Security
Risk Categories
Category 1 — Operational Risk
Example
Minor factual inaccuracy
Impact
Low
Response
Monitor and refine
Category 2 — Reputational Risk
Example
Cultural misinterpretation
Impact
Moderate
Response
Review and adjust
Category 3 — Ethical Risk
Example
Bias toward clan narratives
Impact
High
Response
Immediate audit
Category 4 — Legal Risk
Example
Personal data exposure
Impact
Severe
Response
Incident protocol activation
Category 5 — Safety Risk
Example
Violent content generation
Impact
Critical
Response
Immediate suspension and review
All high or critical risks require documented mitigation plans.
Proactive Risk Management
Risk assessment is not reactive — it is an ongoing discipline that ensures AI systems remain safe, fair, and culturally responsible.
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