![]() Thus, a technology-assisted review (TAR) is used to form an evidence base to support the adoption of a reasoned decision in criminal proceedings and to conduct analytics of pre-trial decisions. Information technology and analytical methods are effective tools for analyzing evidence and assessing its relevance to an investigation or trial in criminal justice. One of the successful applications of AI in criminal justice is an artificial neural network that can identify criminals by specific facial features. One of the most controversial AI tools is the use of algorithm-based predictive policing to predict the location of a future crime. Law enforcement agencies are increasingly using the latest information technologies to fight and prevent crime, including biometrics, audio eavesdropping, and even virtual reality. The analysis of crime consists not only of the disclosure of already committed crimes but also of the identification of non-obvious patterns and trends of crime in order to prevent the commission of future crimes, in particular, relapses. This consists of the rational use of data and knowledge, analytical methods, increasing efficiency, introducing innovations to reduce the level of crime, and increasing the relevance of the evidence base. This opens up wide opportunities for the implementation of new strategic approaches, i.e., smart policing. To uncover and prevent such crimes, law enforcement agencies must use information technologies focused on data mining and machine learning techniques. Smart society is vulnerable to cyberattacks, so nowadays the world is recording an increase in the number of crimes that take place in cyberspace and significantly affect security. In the coming years, new technology will become an important tool even in national security and criminal justice. Artificial intelligence, big data, blockchain, the Internet of Things, digitization, and nanotechnology create an environment for new threats that will intensify in the future. Law enforcement agencies are increasingly using AI and blockchain technology to transparently and securely collect, process, and access evidence. Innocent people are convicted on forged or false evidence and testimony causing social and economic discontent. Hundreds of prisoners around the world are spending time in prison because of false charges. Modern society does not have full confidence in institutions of criminal justice. Forensics is one of the important components of ensuring the personal safety of citizens and national security in general. The research on internal state security problems requires special attention. The issue of security has become critical not only for development but also for the survival of modern smart society. In our further research, the possibility of using the technology of distributed registers/blockchain in predictive criminology will be analyzed. They can be used to predict new cases for decision-making support in criminal justice. Decision Tree models for the classification of convicts prone or not prone to recidivism were built. It was established that the number of convictions to the actual punishment and suspended convictions is the main factors that determine the propensity of customers of penitentiary institutions to commit criminal recidivism in the future. For predicting the probability of propensity for criminal recidivism of customers of Ukrainian penitentiary institutions, a Decision Tree model was built to suggest the probability of repeated criminal offenses by convicts. The prediction machine-learning models for identifying significant factors (individual characteristics of convicts), which affect the propensity to commit criminal recidivism, were applied in this article. Against the background of informatization of the information activities of law enforcement agencies, there is no doubt about the expediency of using artificial intelligence algorithms and blockchain technology to predict and prevent crimes. Increasing internal state security requires an understanding of the factors that influence the commission of repetitive crimes (recidivism) since the crime is not caused by public danger but by the criminal person.
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