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Bias and Ethical Concerns in Machine Learning
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Author: Niral Sutaria; Publisher: Isaca Journal; Publication Year: 2022. The following article discusses how bias is a large concern in artificial intelligence (AI) that is often overlooked due to the growth and excitement within the AI field. Examples of this bias recently are an AI-based recruiting tool had to be retired as it was shown…
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Racism, the Criminal Justice System, and Data Science
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Author: N/A; Publisher: Linear Digressions; Publication Year: 2020. The following podcast episode discusses how regardless of whether race or ethnicity is included in your algorithm, correlated variables can still instill biases. The variables selected may lead to more accurate models, but there are ethical scenarios in which you should not be using them. Biases in…
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Crunching the Numbers on Diversity in Data Science: Events & Resources to Foster Inclusion
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Author: Laramie Paxton; Publisher: Medium; Publication Year: 2020. The following article describes how data science is currently one of the most attractive jobs due to job availability and competitive salaries, but it has a diversity problem. Only 15% of data scientists are women and as data science professionals advance in their careers, the number of…
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AI can be Sexist and Racist — It’s Time to Make it Fair
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Author: James Zou, Londa Schiebinger; Publisher: Nature; Publication Year: 2018. The following article discusses different sources of bias, how to recognize the bias, and what to do about it. They bring up that a major driver of bias in artificial intelligence (AI) is the training data, which can produce data encoded with gender, ethnic, and…
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