Protecting Children from Online Grooming in India's Increasingly Digital Post-Covid-19 Landscape: Leveraging Technological Solutions and AI-Powered Tools

Authors

  • Dr. Deepika Rani Researcher in Human Rights Law and Advocate, High Court of Judicature at Allahabad (Lucknow Bench). Uttar Pradesh, India

Keywords:

Artificial Intelligence (AI) Technology, Child Protection, Children's Human Rights, COVID-19 pandemic, India, Online Grooming

Abstract

The COVID-19 pandemic has accelerated the rise of online grooming and exploitation of children in India. This article examines the legal, technological, and educational aspects of protecting children in the post-pandemic digital landscape. Through a comprehensive qualitative methodology involving literature review, legal analysis, and technological assessment, the article provides a critical and analytical approach to understanding the tactics employed by online groomers, the psychological and emotional impact on child victims, and the long-term effects of online grooming. It analyzes the tactics of online groomers, the impact on victims, and the challenges in implementing India's legal framework. The research explores the role of technology in prevention and detection, such as parental control software and AI algorithms, while balancing safety and privacy. It emphasizes the importance of education and awareness to empower children and caregivers through digital literacy, safety skills, and open communication. The article proposes a multi-faceted approach to strengthen India's response, including enhancing legal frameworks, investing in technology, promoting collaboration, and prioritizing child protection in the digital age. By adopting a comprehensive and child-centred approach, India can become a global leader in safeguarding children's rights and well-being in the rapidly evolving digital world.

 

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Published

2024-05-01

How to Cite

[1]
D. D. Rani, “Protecting Children from Online Grooming in India’s Increasingly Digital Post-Covid-19 Landscape: Leveraging Technological Solutions and AI-Powered Tools”, IJIRCST, vol. 12, no. 3, pp. 38–44, May 2024.

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