OpenAI Calls for Banning China's DeepSee AI Models: Rivalry or Legitimate Concern?
OpenAI Calls for Banning China's DeepSee AI Models: Exploring the Rivalry and Legitimacy Concerns
21. März 2025

Discover the latest AI controversy as OpenAI calls for a ban on the state-controlled Chinese AI model, DeepSEEK. This blog post explores the potential security risks and competitive implications, providing insights that can help you navigate the evolving AI landscape.
Why OpenAI Wants to Ban DeepSEE
Allegations of Data Theft and Security Risks
The Tik Tok Precedent: Lessons for DeepSEE
DeepSEE's Increasing Competitiveness and Potential Slowdown
Conclusion
Why OpenAI Wants to Ban DeepSEE
Why OpenAI Wants to Ban DeepSEE
OpenAI has called for a ban on models produced by the Chinese AI lab DeepSEE, citing concerns that these models are state-controlled and pose security risks. OpenAI's main arguments are:
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State Subsidization and Control: OpenAI claims that DeepSEE is a state-subsidized and state-controlled entity, raising concerns about potential data sharing with the Chinese government.
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Data Security Risks: OpenAI argues that DeepSEE's models, including the popular R1 reasoning model, are insecure because the company faces legal requirements in China to comply with government demands for user data.
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Intellectual Property Theft: OpenAI suggests that banning the use of PRC-produced models, like those from DeepSEE, would prevent intellectual property theft and other security risks.
However, there are differing views on the validity of these concerns. Some argue that DeepSEE's open models do not contain mechanisms that would allow the Chinese government to access user data, as the models are hosted on infrastructure provided by companies like Microsoft, Anthropic, and Amazon.
The debate around OpenAI's proposal is further complicated by the fact that OpenAI has a clear incentive to reduce competition from DeepSEE, which has gained significant popularity and market share, even surpassing ChatGPT on the App Store at one point.
Ultimately, the decision on whether to ban DeepSEE's models will likely depend on the outcome of the Trump administration's AI Action Plan initiative and the Biden administration's approach to export controls and national security concerns.
Allegations of Data Theft and Security Risks
Allegations of Data Theft and Security Risks
OpenAI has raised concerns about the potential security risks posed by models like DeepSeeK, which they claim are state-controlled and could enable data theft. They argue that the Chinese government's ability to compel compliance from companies like DeepSeeK poses a threat, and recommend banning the use of such models in the United States.
However, some experts have disputed these claims, noting that DeepSeeK's open models are hosted on infrastructure provided by major tech companies like Microsoft, Anthropic, and Amazon, making it difficult for the Chinese government to directly access user data. The open nature of these models is also said to limit the potential for data siphoning.
Nonetheless, there have been past allegations of security issues with DeepSeeK, including claims that its chatbot app had the ability to transfer user data to China's state-owned mobile firm. This led to bans on the use of DeepSeeK on some government devices. The situation is reminiscent of the controversy surrounding TikTok, which was also banned on government devices due to concerns about Chinese government access to user data.
Overall, the debate over the security risks of DeepSeeK and similar models from China remains contentious, with valid concerns on both sides. The outcome will likely depend on the findings of ongoing investigations and the policy decisions made as part of the U.S. government's AI action plan.
The Tik Tok Precedent: Lessons for DeepSEE
The Tik Tok Precedent: Lessons for DeepSEE
The case of TikTok provides a relevant precedent for understanding the potential fate of DeepSEE. Like TikTok, DeepSEE is a Chinese-developed AI model that has raised concerns about data security and potential ties to the Chinese government.
The TikTok saga saw the app banned from government devices in the United States due to fears that the Chinese Communist Party could access user data through the app. This was driven by allegations that a former ByteDance employee claimed TikTok allowed backdoor access to monitor Hong Kong protesters. While TikTok maintained it did not provide access to the Chinese government, the company is subject to Chinese laws that require it to assist with intelligence work.
Similarly, OpenAI has raised concerns that DeepSEE, as a "state-subsidized and state-controlled" model from China, could pose security risks and enable IP theft. The proposal to ban the use of PRC-produced models like DeepSEE in "tier one" countries mirrors the TikTok ban on government devices.
Ultimately, the TikTok precedent suggests that DeepSEE could face restrictions on government use, if not an outright ban, due to national security concerns. However, a complete ban across all devices may be less likely, as OpenAI's incentives to reduce competition could be seen as a factor in their proposal. The outcome will likely depend on the findings of the Trump administration's AI action plan and how the Biden administration chooses to address the issue.
DeepSEE's Increasing Competitiveness and Potential Slowdown
DeepSEE's Increasing Competitiveness and Potential Slowdown
The recent developments surrounding OpenAI's call to ban DeepSEE, a Chinese AI model, highlight the growing competitiveness and potential challenges facing DeepSEE. While OpenAI cites concerns over state control and data security risks, the move is also seen by many as an attempt to stifle competition from a rising rival.
DeepSEE's rapid rise in popularity, surpassing even ChatGPT in some areas, has undoubtedly caught the attention of industry leaders like OpenAI. The model's open-source nature and hosting by major tech companies like Microsoft, Anthropic, and Amazon have been used to counter claims of data siphoning to the Chinese government. However, reports of potential security vulnerabilities in the DeepSEE app have raised legitimate concerns, leading to bans on government devices in some regions.
The situation with DeepSEE mirrors the challenges faced by TikTok, another Chinese-owned platform that was banned on government devices due to similar data security concerns. The Chinese government's recent restrictions on DeepSEE employees' international travel further suggest a tightening of control over the model's development and deployment.
While DeepSEE's continued success is not guaranteed, the model's increasing competitiveness has undoubtedly put pressure on OpenAI and other industry players. The outcome of the ongoing debate and potential regulatory actions will shape the future of the AI landscape, with implications for both technological innovation and national security considerations.
Conclusion
Conclusion
The debate surrounding OpenAI's call to ban models like DeepSeeK, which are allegedly state-controlled by China, is a complex and multifaceted issue. While OpenAI cites concerns over data security and intellectual property theft, there are also allegations that they may have incentives to reduce competition from a rapidly growing rival.
The comparison to the TikTok situation highlights the potential national security risks associated with AI models developed in countries with close government ties. However, the claims about DeepSeeK's ability to siphon user data remain debatable, with some experts arguing that its open-source nature mitigates such risks.
Ultimately, the fate of DeepSeeK and similar models will likely be determined by the evolving regulatory landscape, particularly the implementation of the Trump administration's AI Action Plan. Whether a full ban is enacted or more targeted restrictions are put in place, the balance between fostering innovation and safeguarding national interests will be a critical consideration.
As the AI landscape continues to evolve, it is essential that policymakers, industry leaders, and the public engage in a nuanced and evidence-based dialogue to navigate these complex challenges. The outcome will have far-reaching implications for the future of artificial intelligence development and deployment.
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