Ejup Rustemi1*, Mefail Tahiri2
1University of Tetova, North Macedonia
2University of Tetova, North Macedonia
*ejup.rustemi@yahoo.com
ABSTRACT
A strategy known as predictive policing is the application of analytical methods, particularly quantitative methods, with the purpose of identifying potential targets for police intervention, either preventing crime or solving crimes that have already occurred through the use of statistical estimates. A number of different predictive policing strategies are currently being used by law enforcement agencies all around the United States, and a great deal of literature has been written about the effectiveness of these strategies. On the other hand, forecasting is another phrase that is used to describe the process of utilizing analytical methods to discover potential targets. For the purposes of this tutorial, we will be using the terms prediction and forecasting interchangeably, despite the fact that there is a distinction between the two.
Keywords: policing, technology, AI, prediction, analytics.
INTRODUCTION
When working with limited resources, the police are able to work more proactively thanks to predictive technologies. The purpose of these tactics is to accomplish the development of efficient strategies that will either deter criminal activity or make the work of investigators more efficient. On the other hand, it is essential that all levels of government comprehend that the implementation of predictive police techniques is not the same as obtaining a crystal ball. Artificial intelligence (AI) is a technology that has the potential to assist us in enhancing the criminal justice system and reducing crime. Using AI, we can evaluate data, forecast hazards, and make decisions more effectively. Artificial intelligence has the potential to spark ethical and social concerns, including privacy, fairness, and accountability.
We can use artificial intelligence to help us identify potential criminals and avert acts of violence. One example is the city of Chicago, which has built a list that is driven by artificial intelligence and categorizes individuals who have been incarcerated according to their likelihood of becoming future criminals. The parameters that are taken into consideration include age, criminal history, victimization, drug arrests, and involvement with a gang organization. Young individuals, persons who have been shot, and those who take drugs are more likely to commit crimes in the future, according to the findings of a recent study (Babuta, Oswald, 2018).
Volume 9, No.1 (2024): April
ISSN 2661-2666 (Online) International Scientific Journal Monte (ISJM)
ISSN 2661-264X (Print)
DOI : 10.33807/monte.20243099
DOI URL: https://doi.org/10.33807/monte.20243099
Full Text: PDF
This is an open-access article under the CC BY-NC-ND license (creativecommons.org/licenses/by-nc-nd/4.0/)