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

Document Type

Book Chapter

Source of Publication

Studies in Systems Decision and Control

Publication Date

1-2-2026

Abstract

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.

ISSN

2198-4182

Publisher

Springer Nature Switzerland

Volume

612

First Page

107

Last Page

118

Disciplines

Computer Sciences

Keywords

Browser extension, ChatGPT API, Content filtering, Digital safety for children, Inappropriate content, Parental control, YouTube kids, YouTube transcript API

Scopus ID

105026765952

Indexed in Scopus

yes

Open Access

no

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