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Toolbox/Libraries/AI-Fairness-360.qmd

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@@ -84,5 +84,5 @@ Although AIF360 is focused on tabular data, its compatibility with `y_pred` and
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For more assistance, visit the [GitHub discussions](https://github.com/Trusted-AI/AIF360/discussions) page or join the AIF360 community for support.
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## See also
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- [**Workshop**: Trustworthy AI: Explainability, Bias, Fairness, and Safety](https://carpentries-incubator.github.io/fair-explainable-ml/index.html): A beginner-friendly workshop on Trustworthy AI/ML concepts and mitigation tools, including AIF360, OOD deteciton, and explainability methods.
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- [**Workshop**: Trustworthy AI: Explainability, Bias, Fairness, and Safety](https://carpentries-incubator.github.io/fair-explainable-ml/index.html): A beginner-friendly workshop on Trustworthy AI/ML concepts and mitigation tools, including a [hands-on tutorial using AIF360](https://carpentries-incubator.github.io/fair-explainable-ml/3-model-fairness-deep-dive.html), OOD deteciton, and explainability methods.
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- [**Talk**: Trustworthy LLMs & Ethical AI](https://uw-madison-datascience.github.io/ML-X-Nexus/Applications/Videos/Forums/mlx_2024-05-11.html): Learn how DeTox can be used to remove toxic embeddings in LLMs.

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