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against prediction profiling policing and punishing in an actuarial age pdf
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Against prediction profiling policing and punishing in an actuarial age is a critical stance against the increasing use of data-driven algorithms and predictive analytics in law enforcement and criminal justice systems. This approach involves the collection and analysis of vast amounts of data to predict future criminal behavior and allocate resources accordingly. However, critics argue that this approach can perpetuate and exacerbate existing biases and inequalities in the criminal justice system. For example, these algorithms may disproportionately target certain marginalized communities or individuals based on historical data that reflects systemic discrimination. Additionally, there are concerns about the lack of transparency and accountability in these predictive models, as well as the potential for misuse or abuse of this technology. Instead, advocates for alternative approaches argue for a more holistic and human-centered approach to policing and punishment that takes into account individual circumstances and addresses root causes of crime rather than relying solely on predictive analytics. Ultimately, the debate over prediction profiling policing and punishing in an actuarial age raises important questions about the ethics and implications of using data-driven algorithms in the criminal justice system.