AI as a guardian: Leveraging machine learning to detect and prevent cyberbullying

Andi Asrifan

doi:10.4018/979-8-3373-2716-7.ch003

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AI as a guardian: Leveraging machine learning to detect and prevent cyberbullying

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Andi Asrifan

2025 Integrating Parental Consent and Child Engagement With Digital Protection Rules Book chapter Cited by 0

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. © 2026, IGI Global Scientific Publishing. All rights reserved.

Affiliations

Universitas Negeri Makassar, Indonesia

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