ethics-ai-analysis

What problem does it solve?

This Skill helps you detect and explain unfair or biased behavior in AI models and decide how to respond using established ethical and moral reasoning, especially when different fairness metrics conflict.

Core Features & Use Cases

• Algorithmic Fairness Auditing: Compute demographic parity, equalized odds (TPR/FPR), calibration gaps, and selection rate differences across protected groups.
• Disparate Impact Assessment: Evaluate the 80% / 4-5ths rule to flag potential EEOC-style disparate impact concerns in automated decision-making.
• Value Alignment via Moral Frameworks: Apply utilitarian, deontological, and virtue ethics lenses to a concrete AI ethics scenario (e.g., parole, hiring, lending) and produce a defensible “what should be done” conclusion.

Quick Start

Use the ethics-ai-analysis skill to audit a classifier’s demographic parity, equalized odds, and calibration gaps for your protected groups from your evaluation dataset.