ai-cultural-bias-audit
CommunityEnsure AI content respects East African context.
System Documentation
What problem does it solve?
Runs a structured pre-delivery audit of AI-generated content — copy, images, and personas — for cultural bias, Western default assumptions, and inaccurate cultural representation, with specific attention to East African and non-Western contexts. Invoke before any AI-assisted deliverable is sent to a client, whenever AI tools have generated content depicting people, communities, or cultural settings, or when an internal review flags that content feels generically "Western" or generically "African" rather than accurately localised.
Core Features & Use Cases
- Structured bias audit workflow using IBM AI Fairness 360 concepts.
- Checklist-based evaluation for visuals, copy, and personas with a qualified reviewer sign-off.
- Recommends corrections and escalation pathways (reject/regenerate, human rewrite, targeted edit) to ensure EA accuracy.
Quick Start
Initiate the audit on AI-generated content before client delivery to ensure culturally accurate representation.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-cultural-bias-audit Download link: https://github.com/peterbamuhigire/social-media-skills/archive/main.zip#ai-cultural-bias-audit Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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