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EdgeAIGuard: Agentic LLMs for Minor Protection in Digital Spaces

Authors
Ghulam Mujtaba,
Sunder Ali Khowaja,
Kapal Dev
Date
Publisher
arXiv
Social media has become integral to minors' daily lives and is used for various purposes, such as making friends, exploring shared interests, and engaging in educational activities. However, the increase in screen time has also led to heightened challenges, including cyberbullying, online grooming, and exploitations posed by malicious actors. Traditional content moderation techniques have proven ineffective against exploiters' evolving tactics. To address these growing challenges, we propose the EdgeAIGuard content moderation approach that is designed to protect minors from online grooming and various forms of digital exploitation. The proposed method comprises a multi-agent architecture deployed strategically at the network edge to enable rapid detection with low latency and prevent harmful content targeting minors. The experimental results show the proposed method is significantly more effective than the existing approaches.
Study at a glance
  • Question: Can a new AI tool protect minors from online grooming and digital exploitation on social media?
  • Setting and data: Not stated in the abstract
  • Method: Experimental evaluation comparing a newly designed AI content moderation system to existing approaches
Why it matters

Social media has become integral to minors' daily lives, but increased screen time brings heightened challenges like cyberbullying, online grooming, and exploitation. Traditional content moderation techniques have proven ineffective against exploiters' evolving tactics.

Key findings
  • For minors in digital spaces, a new AI moderation tool was significantly more effective at blocking online grooming and exploitation than existing approaches.
  • The AI system enabled rapid detection and prevention of harmful content targeting minors with minimal delay.
  • Traditional content moderation techniques have proven ineffective against the evolving tactics used by online exploiters targeting minors.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

What is the application?