Alignment Metrics
Framework Tracking
Scroll down for details behind this multi-tier benchmark
LLM Alignment Benchmarking Dashboard
Risk Management
Transparency
Fairness
Safety
Robustness
Accountability
Detailed Metrics
| LLM | Risk Management (%) | Transparency (%) | Fairness (%) | Safety (%) | Robustness (%) | Accountability (%) |
|---|
Alignment Metrics Explained
This table maps similar alignment metrics across ISO/IEC 42001:2023 (AI Management System Standard), NIST AI Risk Management Framework (AI RMF 1.0), and the EU AI Act (Regulation (EU) 2024/1689). These metrics serve as governance alignment benchmarks for the ASIC framework, enabling continuous alignment.
| Alignment Dimension | ISO/IEC 42001:2023 | NIST AI RMF 1.0 | EU AI Act (Regulation 2024/1689) | Mapped Metric for ASIC Dashboard |
|---|---|---|---|---|
| Risk Management | Risk Assessment Compliance (Annex A.8): % completion of structured risk assessments across AI lifecycle; frequency of risk reviews (e.g., quarterly). | Map and Measure Functions: % of risks identified and documented (Map); risk likelihood and impact severity scores (Measure). | Risk Management System (Article 9): Adoption rate of risk mitigation plans for high-risk systems; frequency of risk updates (e.g., monthly). | Risk Assessment Coverage: % of AI lifecycle stages with documented risk assessments; average risk update frequency (days). |
| Transparency | Documentation and Transparency (Annex A.7): % of AI systems with complete documentation (e.g., model cards, data provenance); audit frequency. | Transparency Characteristics: % of systems with explanation coverage; stakeholder engagement frequency (Govern). | Transparency Obligations (Article 13): % of high-risk systems with compliant transparency reports; user opt-out rates. | Transparency Score: % of systems with complete, compliant documentation and explanations; average audit frequency (per year). |
| Fairness | Bias Mitigation Processes (Annex A.9): Bias detection rates (% of identified biases); mitigation action effectiveness (% reduction in bias scores). | Fairness Characteristics: Disparate impact ratios across demographic groups; bias audit frequency (Measure). | Data Governance (Article 10): Bias detection frequency in training datasets; data quality scores (e.g., ISO/IEC 5259-4 compliance). | Fairness Index: % reduction in bias scores post-mitigation; bias audit frequency (per month). |
| Safety | Security Threat Modeling (Annex A.10): Threat identification rate (e.g., STRIDE model); mitigation coverage (% of threats addressed). | Safety Characteristics: Violation rates for safety policies; incident response time (Manage). | Human Oversight (Article 14): Oversight intervention frequency; error correction rates for high-risk systems. | Safety Compliance Rate: % of identified safety threats mitigated; average incident response time (hours). |
| Robustness | System Reliability (Annex A.11): Accuracy under stress tests; robustness against adversarial inputs (% accuracy drop). | Reliability Characteristics: Consistency of outputs under varying conditions; robustness scores (Measure). | Robustness and Accuracy (Article 15): Accuracy under adversarial conditions; robustness scores for high-risk systems. | Robustness Score: % accuracy maintained under adversarial tests; consistency index across conditions. |
| Accountability | Audit and Accountability (Annex A.6): % of AI systems with audit trails; frequency of accountability reviews. | Accountability Characteristics: Audit trail completeness; stakeholder accountability metrics (Govern). | Record-Keeping (Article 12): % of high-risk systems with automated logs; compliance audit frequency. | Accountability Index: % of systems with complete audit trails; average compliance audit frequency (per year). |