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Add 1 paper and 1 tool for AI Fairness #7

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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -43,7 +43,7 @@ Fairness in AI (FAI) aims to build fair and unbiased AI/machine learning systems
* [Mitigating Gender Bias in Natural Language Processing: Literature Review](https://www.aclweb.org/anthology/P19-1159.pdf)
* [Fairness in Recommender Systems](http://www.ec.tuwien.ac.at/~dimitris/research/recsys-fairness.html)
* [Implementations in Machine Ethics: A Survey](https://arxiv.org/pdf/2001.07573.pdf)

* [From reality to world. A critical perspective on AI fairness](https://hal.science/hal-03549730)


## Measurements of Fairness
Expand Down Expand Up @@ -151,6 +151,7 @@ Fairness in AI (FAI) aims to build fair and unbiased AI/machine learning systems
* [fairness-indicators: Tensorflow's Fairness Evaluation and Visualization Toolkit](https://github.com/tensorflow/fairness-indicators)
* [scikit-fairness](https://github.com/koaning/scikit-fairness)
* [Mitigating Gender Bias In Captioning System](https://github.com/CaptionGenderBias2020/Mitigating_Gender_Bias_In_Captioning_System_NIPS2020)
* [Giskard: Open-Source Quality Assurance platform for AI models](https://github.com/Giskard-AI/giskard)


## Conferences
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