Missing Value Chain in Generative AI Governance China as an example

2024/01/05 by Yulu Pi, Pi, Yulu
Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences

paper · pdf · doi:10.48550/arxiv.2401.02799

openalex publication_date 2024/01/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We examined the world's first regulation on Generative AI, China's Provisional Administrative Measures of Generative Artificial Intelligence Services, which came into effect in August 2023. Our assessment reveals that the Measures, while recognizing the technical advances of generative AI and seeking to govern its full life cycle, presents unclear distinctions regarding different roles in the value chain of Generative AI including upstream foundation model providers and downstream deployers. The lack of distinction and clear legal status between different players in the AI value chain can have profound consequences. It can lead to ambiguity in accountability, potentially undermining the governance and overall success of AI services.

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