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Algorithmic Bias

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Algorithmic Bias

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Examples of types of algorithmic biases

Created by

stellen
stellen
United States

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Algorithmic Bias
 

Algorithmic BiasOnline version

Examples of types of algorithmic biases

by stellen
1

A hiring algorithm consistently ranks resumes from candidates who live in affluent neighborhoods higher than those from economically disadvantaged areas, regardless of skills or experience.

2

An AI hiring tool favors candidates from NYU over candidates from UNC-Chapel Hill for finance roles because it was trained on past hiring data where students were predominantly hired.

3

A video interview analysis tool misinterprets the facial expressions of darker-skinned candidates as showing lower enthusiasm compared to lighter-skinned candidates.

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Correct answer: feature selection bias. The use of zip code as a feature introduces socioeconomic and potentially racial bias.

Correct answer: training data bias. The algorithm learned from historical data that reflect biased hiring practices.

Correct answer: measurement bias. The input (facial expression data) is not accurately measured across all races.

 
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