The purpose of this literature review was to compile recent conducted reviews about the use of artificial intelligence (AI) in crime prediction and prevention. How capable are current AI- technologies in predicting crime? How capable are current AI- technologies in preventing crime? This literature review included 9 reviews. The results suggested that the currently AI technologies in use were capable of predicting and preventing crime. They could find patterns in large data sets in much more efficient manner than humans could. The most commonly used AI technologies in crime prediction were data mining, and machine learning and deep learning were most commonly used in crime prevention. The results of this literature review indicated that the use of AI systems in crime prediction and prevention is growing, however it can still be viewed as a new phenomenon that requires further research. To achieve higher levels of accuracy there was requirements for access to larger data sets and further testing and training of the AI models. Criminologists also needs to pay more attention to the field of AI in crime prediction and prevention so that they can direct the practice.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:oru-93149 |
| Date | January 2021 |
| Creators | Rehnström, Fanny |
| Publisher | Örebro universitet, Institutionen för juridik, psykologi och socialt arbete |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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