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Algorithmic Bias, Financial Inclusion, and Gender
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Author: Sonja Kelly, Mehrdad Mirpourian; Publisher: Women’s World Banking; Publication Year: 2021. The following report discussed where gender-based bias originates and how to mitigate such biases in the emerging digital credit space. The report discussed the data collection process on emerging credit platforms and what data would be collected. It also introduced 3 potential origins…
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What Does Information Science Offer for Data Science Research?: A Review of Data and Information Ethics Literature
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Author: Brady Lund, Ting Wang; Publisher: Sciendo; Publication Year: 2020. The following article discusses the issues of bias in the data science world, however, it goes more in-depth and explains 5 different kinds of bias and how they are used in different phases of the data science life cycle. The 5 kinds of bias that…
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