Using ai to counter criminal offences against the will, honour, and dignity of a person

Abstract

In the era of the digitalization of society, crimes against the will, honour, and dignity of a person, in particular cyberbullying, blackmail, and threats, are becoming increasingly common. These phenomena are becoming increasingly common due to the anonymity of online communication and the rapid dissemination of information. This creates new challenges for law enforcement agencies, requiring the implementation of innovative technologies, in particular artificial intelligence (AI), for their detection, prevention, and investigation. Artificial intelligence (AI) opens up opportunities for automated analysis of threatening messages and prediction of risks of aggressive behaviour. The research focuses on assessing the potential of AI in combating such crimes, analysing its effectiveness, and identifying the limitations of technology use in law enforcement practice. The study evaluates the effectiveness of AI algorithms for detecting cyber threats and identifies their key limitations. The aim of the study is to assess the effectiveness of AI algorithms for automated detection of threatening messages, prediction of risks of criminal behaviour compared to traditional methods. The study employed the following methods: text data analysis using natural language processing (NLP), behavioural pattern modelling to predict risks, and surveys of human rights defenders and lawyers to study their attitudes towards AI in combating crime. The methods used include text data analysis, behavioural pattern modelling, and a sociological survey of human rights activists regarding their attitudes towards AI. The results showed that AI algorithms demonstrate high accuracy rates in detecting cyber threats, outperforming traditional methods in terms of speed and scalability. NLP algorithms achieved 85% accuracy compared to 75% in manual moderator analysis, confirming their effectiveness. At the same time, a survey of specialists revealed a number of ethical and legal limitations in the implementation of these technologies, in particular, 60% of respondents indicated the need for strict regulation of AI, and 35% emphasized the risk of false accusations. The academic novelty of the study is the interdisciplinary approach that integrates technological analysis with legal aspects to assess the effectiveness of AI, but also to identify obstacles to its practical application. The novelty of the study lies in combining the analysis of the effectiveness of AI with an assessment of the possibilities of its actual use in the fight against cyber threats. Further research should focus on adapting algorithms to the changing conditions of the digital environment and developing regulatory mechanisms for their implementation in compliance with human rights. Further research should improve AI algorithms and reduce the false positive rate.