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Empowering Child Safety Using AI and ML to Address Online Risks
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Author(s): Seena Thomas Kaithathara (King Abdulla International Medical Research Center, Riyadh, Saudi Arabia)and Amrutha Jose (ICMR-National Institute of Immunohaematology, Mumbai, India)
Copyright: 2026
Pages: 38
Source title:
Child Protection Laws and Crime in the Digital Era
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: 10.4018/979-8-3373-5132-2.ch015
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Abstract
Children face escalating online risks, including cyberbullying, grooming, and privacy violations. This chapter examines AI/ML's role in mitigating threats through real-time detection of harmful content and enhancing safety measures like behavioral analysis and adaptive moderation. Analysis of a cybersecurity behavior reveals gaps in children's risk awareness, emphasizing the need for targeted interventions. While AI/ML offers scalable protection, ethical challenges, algorithmic bias, privacy trade-offs, and over-reliance on automation, highlight risks of censorship and eroded human agency. A balanced framework is proposed, integrating AI tools with policy reforms and digital literacy programs. Collaborative governance among technologists, educators, and policymakers is urged to prioritize child-centric design, transparency, and ethical safeguards. This approach harmonizes innovation with education, fostering safer digital ecosystems without compromising children's autonomy or developmental needs.
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