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fairness

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Audit AI outputs for bias and fairness.

Data & Analytics#metrics#fairness#bias-audit#ai-ethics#decision-audit#protected-attributes#disparate-impact
Authorbrucebanner010198-commits
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Audit AI outputs, models, or decisions for bias across protected attributes to prevent unfair outcomes.

Core Features & Use Cases

  • Group-level bias measurement across protected attributes
  • Disparate-impact scoring and documentation of trade-offs
  • Remediation guidance and governance artifacts for audits
  • Applicable to hiring, lending, healthcare, education, content moderation, or any scoring/ ranking task

Quick Start

Ask me to run a fairness audit on a model, dataset, or decision process and generate a bias report with remediation guidance.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: fairness
Download link: https://github.com/brucebanner010198-commits/DevSecOps-Agency/archive/main.zip#fairness

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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