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A curated list tracking current scary and unethical uses of AI to raise awareness of its societal misuses.
An extensible open-source toolkit for detecting, mitigating, and explaining bias in machine learning datasets and models.
A Python toolbox for auditing machine learning models to detect and quantify bias in black-box predictions.
A curated list of resources for understanding, measuring, and mitigating fairness issues in artificial intelligence and machine learning systems.
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