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Two Sessions 2024
ChinaScience

China’s ‘two sessions’ 2024: economic planning chief focuses on artificial intelligence ahead of key political gathering

  • Zheng Shanjie, head of National Development and Reform Commission, urged the industry to ‘accelerate high-quality development’ on a recent inspection tour
  • Boosting technological innovation is expected to be high on the agenda during the annual meeting of the legislature this week

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China’s AI industry is being held back by US export controls. Photo: Xinhua
William Zheng
The head of China’s economic planning body made a tour of artificial intelligence firms and research institutes in the run-up to the annual meeting of the national legislature and top political advisory body, where technological development is expected to be high on the agenda.

Zheng Shanjie, chairman of the National Development and Reform Commission, “encouraged everyone to proactively adapt to the trends of technological revolution and industrial transformation, strengthen technology research and development, expand industry-enabling applications, and accelerate the high-quality development of our country’s artificial intelligence industry”, the commission said on Sunday.

The NDRC said Zheng visited research institutions and enterprises in Beijing including Zhiyuan Research Institute, Baidu, 4Paradigm, Baichuan Intelligence and Beijing Zhipu Huazhang Technology, without providing further details.

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This week senior Communist Party officials and business elites will gather in Beijing for the annual meetings of the National People’s Congress and the Chinese People’s Political Consultative Conference, an event known as the “two sessions”, where Premier Li Qiang will present his maiden government work report.

Tech innovation, which the authorities are counting on to boost the country’s long-term economic prospects, is widely expected to be among the key topics in his report.

China has made remarkable advances in AI over the past decade or so, matching or even surpassing that of the US in some fields like facial recognition.

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