In a small Virginia town, citizens review police like Uber drivers

Re:In a small Virginia town, citizens review police like Ube... by ryandrake on Thursday June 02, 2022 @01:20PM (#31597796)

This encourages an undesirable outcome: Police now know that Group A's ratings will be more heavily weighted and Group B's ratings will not be heavily weighted. They will then be incentivized to treat Group A with kid gloves and mistreat Group B, regardless of what caused the police interaction.

I'll leave it as an exercise to the reader to consider what the police might use as a proxy/heuristic to figure out what group a suspect is in.

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Re:In a small Virginia town, citizens review police like Ube... by daenz on Thursday June 02, 2022 @01:30PM (#31597948)

I think you meant they would mistreat Group A more, if they are more heavily weighted, but I do see your point.

I agree that this is a danger. Fortunately, with additional data available, data scientists will be able to show any biases more clearly. If it happens with a rating system, it was happening before the rating system, except now there is the benefit of more data.

Similarly, you could also show if people from Group A (the more weighted group) also rate the police lower, despite similar treatment as those of Group B. The data will cut both ways.

EDIT>> Nvm, you were using "weighted" to mean "the weight of their vote", not "the weight applied to their vote."

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