A library that implements fairness-aware machine learning algorithms
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Promoting Solutions that Improve Wellbeing, Freedom and Society
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
?? Privacy-respecting web frontends for popular services
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
A reading list for the modern critical programmer
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Deliver safe & effective language models
H2O.ai Machine Learning Interpretability Resources
Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3
