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The increase demand on technology and the high dependency on digital platforms interactions, such as YouTube, reveals serious challenges to ensure a safe, ethical, and efficient user experience. These challenges are important for vulnerable users, such as children, who may be exposed to potentially harmful material online. Though YouTube Kids provides a safety environment, but unsuitable content can still slip through its filters. This paper proposes a web-based parental control tool for YouTube and an Access Management System (AMS) for the Digital Resource Centre (DRC). The system includes a browser extension based on Artificial Intelligence (AI)-driven real-time filtering, incorporating the YouTube Transcript API and OpenAI’s GPT to analyze video content. This allows parents/guardians to control their children’s interactions on digital platforms and block inappropriate material based on specific parameters such as keywords and topics, providing a personalized and safer browsing experience. Our proposed system demonstrates how AI and user-centric design enhance safety and efficiency in digital environments, offering scalable and ethical solutions for children and the connected future.

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AI-Driven Content Filtering and Access Management Systems: Enhancing Online Safety and Digital Resource Accessibility

  • 章节

  • 发表日期：

    2026年

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  • Murad Al-Rajab,
  • Samia Loucif,
  • Huda Samreen Baig,
  • Dalal Abdur Rahman Al-Badwi,
  • Laisa Sanjida Isra

摘要

The increase demand on technology and the high dependency on digital platforms interactions, such as YouTube, reveals serious challenges to ensure a safe, ethical, and efficient user experience. These challenges are important for vulnerable users, such as children, who may be exposed to potentially harmful material online. Though YouTube Kids provides a safety environment, but unsuitable content can still slip through its filters. This paper proposes a web-based parental control tool for YouTube and an Access Management System (AMS) for the Digital Resource Centre (DRC). The system includes a browser extension based on Artificial Intelligence (AI)-driven real-time filtering, incorporating the YouTube Transcript API and OpenAI’s GPT to analyze video content. This allows parents/guardians to control their children’s interactions on digital platforms and block inappropriate material based on specific parameters such as keywords and topics, providing a personalized and safer browsing experience. Our proposed system demonstrates how AI and user-centric design enhance safety and efficiency in digital environments, offering scalable and ethical solutions for children and the connected future.