ai-ethics

SKILL.md

Comprehensive AI ethics skill covering bias detection, fairness assessment, responsible AI development, and regulatory compliance.

| Fairness | AI should not discriminate against individuals or groups | | Transparency | AI decisions should be explainable | | Privacy | Personal data must be protected | | Accountability | Clear responsibility for AI outcomes | | Safety | AI should not cause harm | | Human Agency | Humans should maintain control |

| Historical | Training data reflects past discrimination | Hiring models favoring male candidates | | Representation | Underrepresented groups in training data | Face recognition failing on darker skin | | Measurement | Proxy variables for protected attributes | ZIP code correlating with race |

Responsible AI development and ethical considerations. Use when evaluating AI bias, implementing fairness measures, conducting ethical assessments, or ensuring AI systems align with human values. Source: 89jobrien/steve.

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