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| − | =Predictive Algorithms in Criminal Justice=
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| − | ==Introduction==
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| − | '''Predictive algorithms''' are a type of machine learning that are used to predict what is likely to happen in the future based on historical data. These algorithms can be used to analyze and make predictions on a wide range of data, including images, text and countless more. Predictive algorithms have played a vital role in many fields and have improved decision making processes by providing insights and predictions. Recent developments in data science has led to the idea that machine learning could be a potential tool that can be used for criminal justice. The use of AI aims to address issues of inequality between criminals and law enforcement by providing tools for improved crime prevention and control. '''Predictive policing ''' is the method of using data analytics to predict where crimes are likely to occur in order to use police resources more efficiently. This may include historical crime data, and demographic data to identify patterns and trends that can be used to predict future crimes. This has the potential to reduce crime, but it also has the potential to perpetuate pre-existing biases and errors which could potentially hinder the effectiveness of the justice system while disproportionately targeting certain communities.
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| − | == Types of Predictive Policing ==
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| − | ===Crime Forecasting===
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| − | Crime forecasting refers to the basic process of predicting crimes before they occur. Tools are needed to predict a crime before it occurs.[https://vciba.springeropen.com/articles/10.1186/s42492-021-00075-z]
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| − | ===Predicting Offenders===
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| − | ===Predicting Perpetrators' Identities===
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| − | ===Predicting Victims of Crime===
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| − | ==Ethical Concerns==
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| − | ==References==
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