Validate AI/ML models and datasets for bias, fairness, and ethical concerns. Use when auditing AI systems for ethical compliance, fairness assessment, or bias detection. Trigger with phrases like "evaluate model fairness", "check for bias", or "validate AI ethics".
5.8
Rating
0
Installs
AI & LLM
Category
A solid skill for AI ethics and fairness validation with comprehensive coverage of bias detection, fairness metrics, and mitigation strategies. The description clearly explains when to invoke the skill. Task knowledge is strong, providing detailed steps and referencing validation scripts. Structure is reasonable but has minor redundancy (duplicate 'Overview' sections, multiple README.md files). Novelty is moderate—while valuable for consolidating fairness analysis workflows, the underlying techniques (using Fairlearn, AIF360) are well-established, and a capable CLI agent could perform similar analyses with appropriate prompting, though this skill does streamline the process and reduce token requirements for complex multi-step fairness audits.
jeremylongshore
Skill Author
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