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The Role of Artificial Intelligence in Cross-Border Content Rating Systems: A Modern Approach to Global Media Distribution

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  • Anupam Chansarkar

    (Amazon.com Services LLC, USA)

Abstract

The globalization of digital media content has introduced complex challenges in content rating and regulation across international borders, particularly for streaming platforms operating in multiple territories. This article examines the role of Artificial Intelligence and Large Language Models in facilitating cross-border content rating compliance while maintaining cultural sensitivity and regulatory adherence. The article explores current challenges in content distribution, presents the potential of AI-based solutions, and analyzes the technical framework required for implementation. Special attention is given to the crucial role of human oversight in ensuring cultural nuance detection and maintaining high accuracy rates. The article demonstrates that the integration of AI technologies with human expertise creates a robust system for cross-border content rating that effectively balances automation with cultural sensitivity while addressing the scalability challenges faced by the industry.

Suggested Citation

  • Anupam Chansarkar, 2025. "The Role of Artificial Intelligence in Cross-Border Content Rating Systems: A Modern Approach to Global Media Distribution," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(4), pages 670-674, May.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:4:id:9614
    DOI: 10.32996/jcsts.2025.7.4.79
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