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README.md

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![image](./images/Header_Github.png)
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![image](https://raw.githubusercontent.com/NGO-Algorithm-Audit/unsupervised-bias-detection/refs/heads/master/images/Header_Github.png)
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## Detecting higher-dimensional forms of proxy bias
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📄 Applied in real-world audit: [audit report](https://algorithmaudit.eu/algoprudence/cases/aa202402_preventing-prejudice_addendum/)
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☁️ Web app on [Algorithm Audit website](https://algorithmaudit.eu/technical-tools/bdt/#web-app)
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Note: This module is still considered experimental, so conclusions drawn from the results should be carefully reviewed by domain experts.
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🧪 Scientific paper: [Arxiv pre-print](https://arxiv.org/pdf/2502.01713)
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## Key takeaways – Why unsupervised bias detection?
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- **Quantitative-qualitative joint method**: Data-driven bias testing combined with the balanced and context-sensitive judgment of human experts;

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