Streamlining Copyright Protection: Leveraging Algorithmic Justice in Administrative and Civil Systems

Brunel University of London, Uxbridge, UB8 3PH, UK

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Abstract

As social media platforms generate unprecedented volumes of user content, accelerated by the rise of generative artificial intelligence (AI), ensuring efficient and fair copyright enforcement has become a pressing global challenge. This paper explores how algorithmic justice can be leveraged to streamline both administrative and civil systems for copyright protection. In Europe and the US, enforcement follows a tiered approach, ranging from notice and takedown legal procedures to litigation, while China complements civil remedies with a more rapid administrative enforcement process led by the National Copyright Administration. Though faster and less burdensome in evidentiary terms, China’s approach raises questions of consistency and fairness. With AI increasingly deployed in content moderation and dispute resolution, this paper argues that robust data governance is essential to ensure that algorithmic enforcement mechanisms remain transparent, accountable, and interoperable across jurisdictions. Key requirements include model transparency, explainability of decisions, and detailed audit trails to enable oversight and contestation. Through comparative analysis of copyright enforcement regimes in China, Europe, and the US, this paper identifies best practices for integrating algorithmic tools into administrative and civil frameworks, with the goal of streamlining enforcement while safeguarding user rights and legal integrity in the age of AI.