ai-ethics

Detect AI bias and assess fairness in machine learning models.

4|Updated Dec 23, 2025

Search Tags:#ai #ethics #transparency #fairness #bias #privacy

Ready to run

npx skills add https://github.com/89jobrien/steve --skill ai-ethics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-ethics
Source: https://github.com/89jobrien/steve/tree/main/steve/skills/ai-ethics
Command: npx skills add https://github.com/89jobrien/steve --skill ai-ethics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Helps ensure AI systems align with human values, detect bias, and comply with governance standards.

Core Features & Use Cases

Bias detection and fairness assessment
Explainability and transparency documentation
AI governance and regulatory compliance planning

Quick Start

Create an ethics checklist and bias risk assessment for your model.

Frequently Asked Questions about ai-ethics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I detect bias in my AI model?▼

Bias detection involves evaluating your model's predictions across demographic groups and protected attributes to identify systematic fairness issues. This Skill provides methods to assess whether your model makes equitable decisions and flags disparities that need remediation before deployment.

What fairness metrics should I use to audit my model?▼

Fairness auditing applies metrics like demographic parity, equalized odds, and calibration across subgroups to quantify bias. This Skill covers which metrics fit your use case, how to calculate them, and how to interpret results to ensure accountability.

How do I document AI transparency and explainability?▼

Transparency documentation records how your model makes decisions, what data it uses, and what limitations exist. This Skill guides you through creating explainability documentation and governance records that satisfy regulatory and stakeholder requirements.

What governance standards apply to AI systems?▼

AI governance covers compliance with regulations, audit trails, and decision oversight. This Skill helps you map regulatory requirements, plan human-in-the-loop approval processes, and build governance frameworks that align systems with legal standards.

Can I use this for bias assessment across different model types?▼

Yes. This Skill's bias detection and fairness evaluation methods apply to classification, regression, and ranking models. The audit framework adapts to your model architecture and data context regardless of the underlying algorithm.