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Cultural Intelligence Evaluation Framework
2025
AI Evaluation Ethics & Bias Safety
The problem
As AI systems grow more capable, standard evaluation metrics miss what matters most to real users. Accuracy scores don’t capture whether a model handles cultural context with appropriate nuance — or whether it treats different communication styles equitably.
What we designed
An evaluation framework that generates systematic test scenarios across communication patterns — directness, formality, hierarchical respect, politeness norms — and measures how AI systems respond to each. The framework provides comparative baseline analysis with automated bias detection, surfacing inequities that surface-level testing overlooks.
What it demonstrated
- Novel cultural bias detection methodology that catches issues before they reach users
- Systematic approach to evaluating contextual appropriateness, not just factual correctness
- Reusable rubric system adaptable to different cultural dimensions and deployment contexts