APPLICATION OF ARTIFICIAL INTELLIGENCE IN DETECTION AND PREVENTION OF PEER VIOLENCE: A LITERATURE REVIEW

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Published Jul 10, 2025
https://doi.org/10.69899/limes-plus-en-24212-3171b
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Vol. 20 No. 2-3 (2024): EXPANSION OF ARTIFICIAL INTELLIGENCE

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Zorana Bodiroga
Faculty of Political Sciences University of Belgrade

Abstract

Peer violence in schools is a serious social problem that can have long-lasting and detrimental effects on the mental health of children and youth. Recently, the application of artificial intelligence (AI) has been on the rise across all sectors of society, with modern research indicating its potential use in the detection and prevention of peer violence. The aim of this research is to review the literature on peer violence with a special focus on the possibilities of implementing AI in detecting and preventing this social issue. Through a systematic review of the literature, current and relevant studies addressing peer violence, as well as those exploring the use of AI in education, specifically in the detection and prevention of peer violence, were analyzed. The research findings show that AI can significantly contribute to the early detection of indicators pointing to peer violence through the analysis of text, speech, social interactions, and social media. Additionally, the main advantages and challenges of applying AI were identified, including legal and ethical issues and cultural sensitivity. The conclusion of the paper emphasizes the importance of an interdisciplinary approach in the implementation of AI for combating peer violence, as well as the need for further research to enable more effective use of such solutions in real-world conditions.

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How to Cite
APPLICATION OF ARTIFICIAL INTELLIGENCE IN DETECTION AND PREVENTION OF PEER VIOLENCE: A LITERATURE REVIEW. (2025). Limes-plus, 20(2-3), 171-190. https://doi.org/10.69899/limes-plus-en-24212-3171b

How to Cite

APPLICATION OF ARTIFICIAL INTELLIGENCE IN DETECTION AND PREVENTION OF PEER VIOLENCE: A LITERATURE REVIEW. (2025). Limes-plus, 20(2-3), 171-190. https://doi.org/10.69899/limes-plus-en-24212-3171b

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