Algorithmic Bias and Feedback Loop Reinforcement in Predictive Policing Models
An examination of how predictive policing algorithms inherit and entrench historical systemic biases through recursive feedback loops.
Predictive policing tools utilize historical crime data that often reflect discriminatory policing practices. These models create a self-fulfilling prophecy where police are directed to areas with higher recorded crime rates, leading to more arrests and perpetuating the biased data cycle.
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