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Tracing the Roots of China's AI Regulations
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Carnegie Endowment
Useful background for understanding China's AI governance model and how it differs from Western regulatory approaches; relevant to global AI governance coordination debates.
Metadata
Importance: 52/100organizational reportanalysis
Summary
This Carnegie Endowment analysis examines the historical and institutional origins of China's AI regulatory framework, tracing how existing censorship infrastructure, party control mechanisms, and technology governance traditions shaped the country's approach to regulating AI systems. It contextualizes China's AI rules within broader patterns of internet and content governance.
Key Points
- •China's AI regulations build on pre-existing content moderation and censorship infrastructure rather than being built from scratch.
- •The regulatory approach reflects Chinese Communist Party priorities around information control, social stability, and state-directed technology development.
- •China has moved faster than Western nations on formal AI regulation, issuing rules on recommendation algorithms, deepfakes, and generative AI.
- •Understanding the roots of China's AI governance helps explain why its regulations focus heavily on content control and political compliance.
- •The analysis highlights divergence between Chinese and Western AI governance philosophies, with implications for international AI coordination.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| China AI Regulatory Framework | Policy | 57.0 |
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Paper
## Tracing the Roots of China’s AI Regulations
How face swap apps, investigative journalism, and corporate thought leadership shaped governance.
Link Copied
By [Matt Sheehan](https://carnegieendowment.org/people/matt-sheehan)
Published on Feb 27, 2024
### Summary
In 2021 and 2022, China became the first country to implement detailed, binding regulations on some of the most common applications of artificial intelligence (AI). These rules formed the foundation of China’s emerging AI governance regime, an evolving policy architecture that will affect everything from frontier AI research to the functioning of the world’s second-largest economy, from large language models in Africa to autonomous vehicles in Europe.
U.S. political leaders often [warn](https://www.reuters.com/world/us/senate-leader-schumer-pushes-ai-regulatory-regime-after-china-action-2023-04-13/) against letting China “write the rules of the road” in AI governance. But if the United States is serious about competing for global leadership in AI governance, then it needs to actually understand what it is competing against. That requires examining the nuts and bolts of both China’s AI regulations and the policy process that shaped them. This paper is the second in a [series](https://carnegieendowment.org/2023/07/10/china-s-ai-regulations-and-how-they-get-made-pub-90117) breaking down China’s AI regulations and pulling back the curtain on the policymaking process shaping them.
The Chinese Communist Party (CCP) and the Chinese government started that process with the 2021 rules on recommendation algorithms, an omnipresent use of the technology that is often overlooked in international AI governance discourse. Those rules imposed new obligations on companies to intervene in content recommendations, granted new rights to users being recommended content, and offered protections to gig workers subject to algorithmic scheduling. The Chinese party-state quickly followed up with a new regulation on “deep synthesis,” the use of AI to generate synthetic media such as deepfakes. Those rules required AI providers to watermark AI-generated content and ensure that content does not violate people’s “likeness rights” or harm the “nation’s image.” Together, these two regulations also created and amended China’s algorithm registry, a regulatory tool that would evolve into a cornerstone of the country’s AI governance regime.
Contrary to popular conception in the rest of the world, China’s AI governance regime has not been created by top-down edicts from CCP leadership. President Xi Jinping and other top CCP leaders will sometimes give high-level guidance on policy priorities, but they have not been the key players when it comes to shaping China’s AI regulations. Instead, those regulation
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