AI as a Guardian: Leveraging Machine Learning to Detect and Prevent Cyberbullying

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Author(s): Andi Asrifan (Universitas Negeri Makassar, Indonesia)
Copyright: 2026
Pages: 38
Source title: Integrating Parental Consent and Child Engagement With Digital Protection Rules
Source Author(s)/Editor(s): Romil Rawat (LabGeoInf-Research LABoratory in GEOmatics and INFormation systems, National Research Council in Italy, Rome, Italy), Sanjaya Kumar Sarangi (Utkal University, India), A. Samson Arun Raj (Karunya Institute of Technology and Sciences, India), Janet Olivia Richmond (Karunya Institute of Technology and Sciences, India)and Purvee Bhardwaj (Rabindranath Tagore University, India)
DOI: 10.4018/979-8-3373-2716-7.ch003

Keywords: Government & Law / Human Aspects of Technology / Information Science Reference / Policy & Reform

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Abstract

In the digital age, cyberbullying is a pervasive problem that requires AI to detect and prevent. This chapter emphasizes the importance of stakeholder collaboration, parent, school, and community empowerment, and AI-driven digital well-being programs in establishing a more safe digital future. AI-driven moderation tools are essential for online interaction management, but ethics, transparency, and equity are required. An effective cyberbullying prevention strategy includes privacy protection, algorithmic bias elimination, and digital citizenship education. Improved emotional intelligence, tailored well-being helpers, and decentralized safety protocols will help AI create safer online settings. This chapter stresses the importance of combining technical innovation with human-centered governance to combat cyberbullying.

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AI as a Guardian: Leveraging Machine Learning to Detect and Prevent Cyberbullying

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