The Location of Generative Artificial Intelligence Service Providers: A Case Study of the First Global AIGC Platform Infringement

This paper examines the legal ambiguities surrounding generative AI (AIGC) service providers' dual roles as technology developers and content facilitators, analyzing China's first AIGC infringement case adjudicated by Guangzhou Internet Court. Through comparative study of China's Interim Measures for Generative AI Services and the EU AI Act, we identify critical gaps in current regulations—particularly in third-party oversight, technical transparency, and data compliance. The case ruling (e.g., exempting defendants from training data deletion but mandating enhanced keyword filters) demonstrates the challenges in assigning liability. We propose a dual-track accountability framework integrating data governance with infringement prevention, drawing on international models like EU content labeling and Singapore's collaborative governance. This approach aims to balance innovation with copyright protection in AIGC development.

Publication Details

Journal
Science of Law Journal
Published
2025-01-01
DOI
https://doi.org/10.23977/law.2025.040301
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

The Location of Generative Artificial Intelligence Service Providers: A Case Study of the First Global AIGC Platform Infringement

Science of Law Journal
Scientific Computing and Data Management
article

The Location of Generative Artificial Intelligence Service Providers: A Case Study of the First Global AIGC Platform Infringement

article en

Abstract

This paper examines the legal ambiguities surrounding generative AI (AIGC) service providers' dual roles as technology developers and content facilitators, analyzing China's first AIGC infringement case adjudicated by Guangzhou Internet Court. Through comparative study of China's Interim Measures for Generative AI Services and the EU AI Act, we identify critical gaps in current regulations—particularly in third-party oversight, technical transparency, and data compliance. The case ruling (e.g., exempting defendants from training data deletion but mandating enhanced keyword filters) demonstrates the challenges in assigning liability. We propose a dual-track accountability framework integrating data governance with infringement prevention, drawing on international models like EU content labeling and Singapore's collaborative governance. This approach aims to balance innovation with copyright protection in AIGC development.

Science of Law JournalVol. 4(3)
Peace, Justice and strong institutions
Openalex Percentile: Top 87%
Scientific Computing and Data Management
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