| name | KSB-D08-K0042 |
| description | AI Fairness Validation Frameworks: Comprehensive understanding of AI fairness metrics including demographic parity, equalized odds, cal... |
| version | 1.0.0 |
| domain | D08 |
| domain_name | Signal Detection & Management |
| type | Knowledge |
| proficiency_level | L4 |
| bloom_level | evaluate |
| triggers | ["explain ai fairness validation frameworks","what is ai fairness validation frameworks","evaluate ai fairness validation frameworks"] |
| epa_mapping | EPA-04, EPA-05 |
| cpa_mapping | CPA-02 |
| regulatory_refs | |
KSB-D08-K0042: AI Fairness Validation Frameworks
Overview
Domain: D08 - Signal Detection & Management
Type: Knowledge
Proficiency Level: L4 (Proficient - Independent practice)
Bloom Level: Evaluate
Description
Comprehensive understanding of AI fairness metrics including demographic parity, equalized odds, calibration across groups, individual fairness measures, and counterfactual fairness concepts. Knowledge of validation methodologies for assessing model performance across protected demographic attributes (age, sex, race/ethnicity, geographic region) in safety signal detection contexts.
Context
- Major Section: AI Integration and Advanced Analytics
- Section: AI Fairness and Equity in Signal Detection
EPA Mapping
- EPA-04:3009-3010
- EPA-05:3011-3012
CPA Pathway
Regulatory References
Instructions
When this skill is activated, Claude should:
- Demonstrate L4 proficiency in ai fairness validation frameworks
- Apply evaluate level cognitive skills to evaluate the topic
- Reference relevant regulatory guidance (general PV standards)
- Connect to related EPAs: EPA-04, EPA-05
Key Competencies
- Comprehensive understanding of AI fairness metrics including demographic parity, equalized odds, calibration across groups, individual fairness measures, and counterfactual fairness concepts. Knowledge of validation methodologies for assessing model performance across protected demographic attributes (age, sex, race/ethnicity, geographic region) in safety signal detection contexts.
Assessment Criteria
- Can evaluate core concepts independently
- Demonstrates understanding of regulatory context
- Applies knowledge appropriately to PV scenarios
Related Skills
- Other D08 skills in AI Fairness and Equity in Signal Detection
- Cross-domain integrations per DAG architecture
Generated from PV KSB Framework v1.0 | 2025-12-31