American scholars call for learning regulatory AI from China: "China has promulgated some of the world's earliest and most comprehensive regulations on artificial intelligence regulation."
International online article: On September 12th, the website of Foreign Policy magazine published a review article by Matt Sheen, a researcher at the Carnegie Endowment for International Peace in the United States. The article states that Chuck Schumer, the majority leader of the US Senate and a Democrat, chaired the "Artificial Intelligence Insight Forum" on Wednesday, which aims to provide advice on how Congress should regulate artificial intelligence. The article points out that China has established relatively complete laws and regulations in the field of artificial intelligence, with regulatory measures leading the world. The US government should learn from China and draw on China's experience in AI regulation.
Screenshot of an article from Foreign Policy magazine in the United States
The article introduces that this forum has gathered numerous technology giants, including Google CEO Sandal Pichai and Tesla CEO Elon Musk, as well as representatives of American labor and civil society organizations. The author of the article believes that if we want to delve deeper into how to regulate artificial intelligence, Schumer and his team should turn their attention to China.
The article states that in the past two years, China has promulgated some of the world's unprecedented and most comprehensive regulations on artificial intelligence regulation.
However, ideological differences have led people to overlook a fact: in fact, the United States can benefit greatly from China's management strategies for artificial intelligence. The article calls on the US government to overcome ideological differences and focus on the underlying structure of Chinese policies and regulations and the process of formulating policies and regulations, which will provide valuable experience for the US to address the challenges brought by artificial intelligence in the coming years.
The article points out that there are significant differences in coverage between the new regulations introduced by the US Congress and China's AI regulatory regulations. Schumer's attempt to promote comprehensive legislation covering multiple aspects of AI, including national security, employment, and public prejudice, is commendable, but it is impossible to package all solutions to problems into one piece of legislation. In contrast, the Chinese government has adopted more feasible, targeted, and continuously iterative artificial intelligence management methods. China has identified representative application scenarios with the most hidden dangers in AI and formulated a series of regulations to crack them one by one, continuously updating policies with the times, and enriching targeted regulatory measures. When early regulations were insufficient to cope with the rapid development of artificial intelligence technology, China quickly revised these regulations.
The article provides an example of how the Chinese government strictly guards against the risk of "deep forgery" brought about by AI. In 2022, China issued relevant regulations for the governance of "deep synthesis" content, requiring companies to add digital watermarks and eye-catching tags to AI generated content. The White House has recently been promoting similar policy concepts.
The article emphasizes that the US Congress should learn from China, starting from specific issues in the field of artificial intelligence, and breaking them down one by one to avoid a one size fits all approach. The author claims that when communicating with policy makers in the field of artificial intelligence regulation in China, they are willing to inquire and analyze the latest measures in the United States and Europe, and think about the parts that are applicable to China. The author appreciates this willingness to learn from competitors and calls on the United States to emulate China.
