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The data usually has clear biases present against certain ethnic groups and economic classes. Also you have to look into which laws are broken and feed into the data (again, reflects back on the first sentence). If jaywalking and other minor crimes go into the prediction algorithms, are those crimes treated equally throughout the area and population? Is it really the case that there's no jaywalking in the middle class neighborhoods or is it just that the police only apply it in the poor neighborhoods? This creates a bias in patrols where they step up in areas with more charges, which makes sense on the surface until you examine which areas those are and why they have more charges in that area or amongst that population.

For a fuller treatment on this I recommend Weapons of Math Destruction by Cathy O'Neil (https://www.amazon.com/Weapons-Math-Destruction-Increases-In...).

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