AI Risk Assessment Dashboard
Establish the foundational mathematical framework for calculating and visualizing AI risk scores objectively
Overall AI Risk Score
72%
MEDIUM RISK
Models at Risk
3
High Risk12
Medium Risk45
Low RiskRisk Trend (24h)
Risk Score
Core Risk Dimensions
Fairness Bias
Demographic parity & equality85
Inherent: 95%
Residual: 15%
Security
Adversarial & access control78
Inherent: 90%
Residual: 22%
Drift
Data & concept drift92
Inherent: 85%
Residual: 8%
Opaqueness
Explainability & interpretability65
Inherent: 80%
Residual: 35%
Robustness
Edge cases & stability71
Inherent: 88%
Residual: 29%
Privacy
Data protection & anonymization88
Inherent: 92%
Residual: 12%
Performance
Accuracy & efficiency94
Inherent: 70%
Residual: 6%
Compliance
Regulatory adherence82
Inherent: 95%
Residual: 18%
Operational
Infrastructure & deployment76
Inherent: 75%
Residual: 24%
Value
ROI & business impact89
Inherent: 60%
Residual: 11%
Risk Matrix
| Likelihood / Impact | Low | Medium | High | Critical |
|---|---|---|---|---|
| Very High | 2 models Risk: 65 | 3 models Risk: 75 | 1 models Risk: 85 | 1 models Risk: 95 |
| High | 5 models Risk: 55 | 8 models Risk: 65 | 4 models Risk: 75 | 2 models Risk: 85 |
| Medium | 12 models Risk: 35 | 10 models Risk: 45 | 6 models Risk: 55 | 3 models Risk: 65 |
| Low | 18 models Risk: 15 | 8 models Risk: 25 | 4 models Risk: 35 | 1 models Risk: 45 |
Key Risk Metrics
Fairness Score
0.92
ΔDP ≤ 0.05Security Score
0.87
Adversarial Success ≤ 5%Drift Score
0.94
PSI ≤ 0.1Explainability
0.85
SHAP Fidelity > 85%Active Risk Alerts
| Model | Risk Type | Severity | Detection Time | Status |
|---|---|---|---|---|
| Credit Scoring v2.3 | Fairness Bias | High |
2 mins ago | Under Review |
| Fraud Detection ML | Data Drift | Medium |
15 mins ago | Auto-Mitigated |
| Customer Churn Pred | Performance | Low |
1 hour ago | Monitoring |
| Risk Assessment AI | Compliance | High |
3 hours ago | Escalated |