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Error-prone or biased artificial-intelligence systems have the potential to taint our social ecosystem in ways that are initially hard to detect, harmful in the long term, and expensive – or even impossible – to reverse.

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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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