StatisticsModerate Confidence

Algorithmic Bias in Predictive Policing Models

A study of how historical crime data, when used to train predictive models, reinforces circular patterns of institutional surveillance.

Predictive policing uses statistical modeling that inherits the biases of historical police deployment, creating a self-fulfilling loop that functions as a contemporary EAT.

predictive modelingalgorithmic biasERMdata loopssurveillance statistics

LHS Lens Analysis

An analytical framework for exploring how narratives, identity, institutions, and communication may shape understanding. Does not assert conclusions as fact.

Confidence Level
Moderate
Related Topics
Machine Learning EthicsData Provenance

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