Tag: Credit Score
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Algorithmic Bias, Financial Inclusion, and Gender
Bias Mitigation, Credit Score, Data Collection, Fairness, Gender Bias, Labeling Bias, Outcome Proxy Bias, Sampling BiasAuthor: 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…
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Sexist and Biased? How Credit Firms Make Decisions
Algorithms, Apple, Artificial Intelligence, Credit Score, Gender Bias, Goldman Sachs, Historical DataAuthor: Kevin Peachey; Publisher: BBC News; Publication Year: 2019. The following article describes how in November 2019, a tech entrepreneur reported that he was approved credit 20 times more on his Apple Card than his…
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Inherent Trade-Offs in the Fair Determination of Risk Scores
Author: Jon Kleinberg, Sendhil Mullainathan, Manish Raghavan; Publisher: N/A; Publication Year: 2016. The following publication discusses issues around risk scoring with credit scores and attempts to define “fairness” in this context. The main idea of…
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When Good Algorithms Go Sexist: Why and How to Advance AI Gender Equity
Author: Genevieve Smith, Ishita Rustagi; Publisher: Stanford Social Innovation Review; Publication Year: 2021. The following article discusses the effect of gender bias in data science. A very interesting example is the credit lines and credit…
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How Flawed Data Aggravates Inequality in Credit
Author: Edmund L. Andrews; Publisher: Stanford University; Publication Year: 2021. The following article discusses how artificial intelligence (AI) models used to determine credit worthiness for lending are less accurate for lower-income and minority borrowers, in…
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Data Brew
Author: Denny Lee, Brooke Wenig, Diana Pfeil; Publisher: Data Brew; Publication Year: N/A. The following video series discusses 3 large topics – transparency, privacy, and bias. First was the idea of transparency in data science…