Researchers from artificial intelligence start-up DeepSeek and tech giant Alibaba Group Holding have lent their support to China’s emerging AI regulatory framework, calling for clearer feedback in a paper published in the US journal Science. The paper, released last month under the title “China’s emerging regulation towards an open future for AI,” highlights the country’s progress in creating an environment conducive to innovation and openness for AI developers, while advocating for the establishment of a national AI law.
The authors aim to clarify misconceptions surrounding China’s “pragmatic” AI governance system, according to Zhang Linghan, a professor at the China University of Political Science and Law and one of the paper’s ten co-authors. “China has actually transformed from a follower to a leader in AI governance, which is significant,” Zhang stated, noting his involvement in drafting a proposed national AI law introduced last year.
Joining experts from academia, two industry representatives contributed to the paper: Fu Hongyu, director of AI governance at Alibaba’s research institute, AliResearch, and Wu Shaoqing, head of AI governance at DeepSeek. Notably, Alibaba owns the Post. This collaboration reflects a growing trend of industry engagement in regulatory discussions surrounding AI.
Wu’s recent participation in the field includes a panel discussion on ethical AI at the Global Open-Source Innovation Meetup held in Hangzhou in September, highlighting the increasing focus on establishing ethical guidelines in AI development.
The authors of the paper argue that while China has laid the groundwork for effective AI governance, the current regulatory framework could benefit from more specificity and guidance. They emphasize that a national AI law would not only solidify this foundation but also promote transparency and accountability in AI applications, fostering greater trust from the global community.
As countries around the world increasingly grapple with the implications of AI technologies, China’s push for a regulatory framework represents a significant shift in its approach to governance. The authors contend that a clear legal structure could enhance collaboration between domestic and international stakeholders, creating a more integrated global AI landscape.
Looking ahead, the discourse on AI regulation is likely to intensify as both private and public sectors navigate the complexities of technological advancements. With China positioning itself as a leader in AI governance, the potential implications for international cooperation and competition are profound, raising questions about how various nations will respond to this evolving narrative.
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