ML-Fairness

Academic studies in Machine Learning and Fairness

Sobre Fairness: https://fairmlbook.org/

https://towardsdatascience.com/a-tutorial-on-fairness-in-machine-learning-3ff8ba1040cb

https://www.researchgate.net/profile/Oleh-Misko/publication/333199773_Fairness_audit_for_Random_Forest_model/links/5ce14818299bf14d95a6f66f/Fairness-audit-for-Random-Forest-model.pdf

https://arxiv.org/pdf/1908.09635.pdf

https://arxiv.org/pdf/1802.06309.pdf

Sobre Adults dataset: https://imrehg.github.io/cdei-development/

https://towardsdatascience.com/reweighing-the-adult-dataset-to-make-it-discrimination-free-44668c9379e8

Biblioteca: https://fairlearn.org

https://github.com/Trusted-AI/AIF360

Outras referências: http://www.californialawreview.org/wp-content/uploads/2016/06/2Barocas-Selbst.pdf