SUMMARY AI summary by gpt-5-mini
AI Bias Detector is a Python tool that trains an income-prediction model on the UCI Adult (census-style) dataset and audits the model’s predictions for demographic bias by sex and race. It’s designed for students, developers, and researchers exploring algorithmic fairness and responsible AI. Key features: - Loads the UCI Adult dataset and trains a Decision Tree classifier using non-protected features (education, occupation, hours, age, capital gains). - Reports model accuracy and test set size. - Computes and compares positive-prediction rates across demographic groups, flags groups with significantly lower rates, and prints a bias audit summary. - Includes run instructions, minimal dependencies (Python 3.7+, pandas, scikit-learn), and guidance on fairness concepts (proxy discrimination, demographic parity, disparate impact) and mitigation recommendations.
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| Created on GitHub | 2026-05-12 |
| Last push | 2026-05-12 |
| First seen here | 2026-05-12 |
| Last fetched | 2026-05-15 16:13 |
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