ai-ethics-champion-challenger
CommunityGovern AI/ML models with fairness, bias detection, and independent reporting.
Legal & Compliance#model evaluation#bias detection#AI ethics#model governance#explanation validation
Authorrancapoly
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The AI Ethics & Champion-Challenger Skill addresses the challenge of ensuring fairness and compliance in AI/ML models within the 30-agent HR Agentic AI Architecture.
Core Features & Use Cases
- Fairness Metrics: Monitors and computes fairness metrics against demographic attributes like gender, age, tenure, etc.
- Champion-Challenger Evaluation: Continuously evaluates models against challengers to maintain performance.
- Explainability Validation: Ensures model explanations are understandable to non-experts.
- Bias Detection & Remediation: Detects bias in models and orchestrates corrective measures.
- Independent Reporting: Reports findings directly to the AI Governance Board without interference from model consumers.
Quick Start
Deploy the ai-ethics-champion-challenger skill for the next quarterly bias audit and champion-challenger evaluation cycle.
Dependency Matrix
Required Modules
ai_governance_boarddata_scientistsmodel_owners
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-ethics-champion-challenger Download link: https://github.com/rancapoly/vault/archive/main.zip#ai-ethics-champion-challenger Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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