literature review- Artificial intelligence on crime prevention

Artificial intelligence on crime prevention
Artificial intelligence on crime prevention
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Contents
Introduction    3
Literature review: Artificial intelligence on crime prevention    3
Conclusion    5
References    6
Introduction
Companies and cities around the world are experimenting with artificial intelligence to reduce and prevent crime and react more quickly to ongoing crime. The idea behind many of these projects is that crime is relatively predictable; it only needs to be able to classify large amounts of data to find patterns that are useful for law enforcement. This kind of data analysis was technically impossible decades ago, but I hope that the development of machine learning can be up to date.
Literature review: Artificial intelligence on crime prevention
Companies and government are trying to use AI for the right reason. As of 2010, the United States spends more than $ 80 billion annually on state, local and federal levels. It is estimated that the total annual law enforcement costs in the US are more than US $ 100 billion. The direct part of the government's direct expenditure of criminal activity on the city and individuals is the direct expenditure of the government. Criminals have to face medical expenses. In addition, high crime rates can reduce the value of property and forced companies can invest more in security. And criminal records can significantly reduce the long-term employment potential of individuals. At present, the British police are at a crossroads. Cox, (2016) fiscal austerity and economic uncertainty surrounding the Brexit mean that the government needs to find ways to reduce expenses. At the same time, the police are being asked to complete more and more tasks: in view of the recent attacks in Manchester and London, it is necessary to assure the public by increasing the presence of the police. Urban infrastructure is becoming smarter and closer. It provides a real-time source of information for the city, from...