Detect AI bias and assess fairness in machine learning models.
npx skills add https://github.com/89jobrien/steve --skill ai-ethics
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
Helps ensure AI systems align with human values, detect bias, and comply with governance standards.
Create an ethics checklist and bias risk assessment for your model.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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