How to Determine Copyright Infringement Liability for AI Model Generation Platforms

WISECODE Take

This news highlights the issue of copyright liability for AI-generated content, focusing on the application of traditional IP principles in new technological fields, rather than a complete overhaul. From a military strategy perspective, the "algorithmic black box" in AI model training is like a fog of war, making it difficult for businesses to grasp internal operations. However, the judgment in Shanghai's first AI large model copyright infringement case clarifies that this fog does not affect "replication right infringement determination," and "adaptation rights should reflect human intellectual input," establishing the core position of human intelligence, similar to the "Medusa character image" case from "Battle Through the Heavens." For business owners, this means that even when using AI platforms for content generation, if the output constitutes "substantive similarity" with others' works, infringement is possible. The "reasonable delineation of platform responsibility" also warns businesses not to shift all responsibility to the platform, as their own duty of care cannot be ignored. First, businesses should prudently assess the legality of AI model training data sources and manually review AI outputs to avoid infringing others' copyrights. Second, understand that traditional network service provider liability standards, such as "safe harbor" and "red flag" principles, still apply in the AI domain, meaning platforms still have an obligation to intervene in cases of "obvious infringement." While AI tools are sharp, IP compliance ensures a stable front line. Zhi Dian recommends that enterprises proactively conduct copyright risk assessment and establish management systems.