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- W3194763908 abstract "Predictive algorithms have a powerful potential to offer benefits in areas as varied as medicine or education. However, these algorithms and the data they use are built by humans, consequently, they can inherit the bias and prejudices present in humans. The outcomes can systematically repeat errors that create unfair results, which can even lead to situations of discrimination (e.g. gender, social or racial)." @default.
- W3194763908 created "2021-08-30" @default.
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- W3194763908 date "2021-09-22" @default.
- W3194763908 modified "2023-10-16" @default.
- W3194763908 title "Assessing Gender Bias in Predictive Algorithms using eXplainable AI" @default.
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- W3194763908 doi "https://doi.org/10.1145/3471391.3471420" @default.
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