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While many big-data providers do their best to de-identify individuals from human-subject data sets, the risk of re-identification is very real.

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Kate Crawford

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Hidden biases in both the collection and analysis stages present considerable risks and are as important to the big-data equation as the numbers themselves.

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If you’re not thinking about the way systemic bias can be propagated through the criminal justice system or predictive policing, then it’s very likely that, if you’re designing a system based on historical data, you’re going to be perpetuating those biases.

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May 3, 2024

If you’re not thinking about the way systemic bias can be propagated through the criminal justice system or predictive policing, then it’s very likely that, if you’re designing a system based on historical data, you’re going to be perpetuating those biases.

Previous

May 3, 2024

Hidden biases in both the collection and analysis stages present considerable risks and are as important to the big-data equation as the numbers themselves.

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