(Voice of the Two Sessions) Chen Xiaoping, member of the Standing Committee of the National Committee of the Chinese People’s Political Consultative Conference: Seize artificial intelligence and accelerate the move toward “new”

　　China News Service, Hangzhou, March 2 (Chai Yanfei and Wang Xiaojing) Accelerating the formation of new productive forces is both a development proposition and a reform proposition.

On the eve of the National Two Sessions, Chen Xiaoping, member of the Standing Committee of the National Committee of the Chinese People's Political Consultative Conference, Vice Chairman of the Zhejiang Provincial Committee of the Chinese People's Political Consultative Conference, and Chairman of the Zhejiang Provincial Committee for Democratic National Construction, suggested in an interview with China News Service that we should seize the strategic high ground and development initiative of artificial intelligence and empower industrial innovation in various fields. Become an important engine for the development of new productive forces.

Chen Xiaoping, member of the Standing Committee of the National Committee of the Chinese People's Political Consultative Conference, vice chairman of the Zhejiang Provincial Committee of the Chinese People's Political Consultative Conference, and chairman of the Zhejiang Provincial Committee for Democratic National Construction Association.

Photo courtesy of Zhejiang Provincial Committee of China Democratic National Construction Association

　　At the beginning of this year’s spring, “new quality productivity” frequently appeared in the New Year development plans of various places.

Traditional industries are iterating, emerging industries are seizing the ground, and future industries are competing for the lead. The development race with innovation as the engine has begun, gathering a torrent of high-quality development, and artificial intelligence is the core of it.

　　From ChatGPT's generative artificial intelligence, which presents cluster innovation phenomena, to artificial intelligence models such as Sora, which bring about exponential technological progress, the current artificial intelligence industry is constantly developing.

In this process, top-level design, computing power, and data are regarded as the three key elements, and they are also bottlenecks that need to be broken through in the development of China's artificial intelligence industry.

　　In Chen Xiaoping's view, it is necessary to formulate a national-level strategic plan for the development of artificial intelligence, give priority to a number of competitive regions and enterprises, and provide key support for "one place, one policy" and "one matter, one discussion".

Establish a special fund to provide financial subsidies or direct investment in key links such as core technology research and development, infrastructure investment, model training and optimization, and vertical field applications in the field of artificial intelligence, and encourage the participation of enterprises and social capital.

　　In terms of specific measures, he believes that it is necessary to cultivate a domestic software and hardware ecosystem.

　　“Promote the deep integration and broad compatibility of domestic software and hardware products by establishing a standard system and organizing joint research. Encourage technology research and development cooperation and market resource sharing between different manufacturers to avoid duplication of investment and jointly create a complete domestic artificial intelligence industry chain. Establish and improve the certification system for independent innovative products and drive domestic technological progress based on market demand." Chen Xiaoping added.

　　In the future, the competition in the artificial intelligence industry will focus on areas such as productivity work efficiency and application scenarios.

Especially with the full opening of the digital economy era, computing power is injecting new momentum into the digital transformation of all walks of life as a new form of productivity.

　　However, compared with the requirements to cope with the fierce competition in the international market, the development of China's computing power infrastructure still faces growing pains.

　　To this end, Chen Xiaoping suggested improving infrastructure and computing power efficiency, "accelerating the construction of an integrated computing power network for Eastern and Western computing, and transmitting computing-intensive services from the Eastern region to the Western region for processing through 'pairing' to achieve Efficient scheduling and utilization of cross-regional computing resources.”

　　He encouraged and supported "public cloud development" and guided governments at all levels, institutions, and state-owned enterprises in an orderly manner to purchase public cloud computing resource services, and avoid local governments from blindly investing in intelligent computing centers.

At the same time, local governments are encouraged to guide and support enterprises to adopt cloud computing and pay-as-you-go computing power leasing models by issuing "computing power coupons" to reduce the cost pressure on enterprises in large-scale model R&D and application, and deepen industrial integration and application scenario expansion.

　　Recently, the National Data Administration and other departments issued the "Three-Year Action Plan for "Data Elements ×" (2024-2026)", which proposed that by the end of 2026, the breadth and depth of the application of data elements will be greatly expanded.

　　Chen Xiaoping believes that data elements are not a single "empowerment +", but play a "multiplier effect."

　　“It is recommended to promote the establishment of an open innovation platform for artificial intelligence big data, and encourage enterprises and research institutions to share high-quality corpus resources that comply with legal and regulatory requirements. Support the development of specialized data annotation, cleaning and other pre-processing work to provide high-quality data sources for training large models. Research and formulate data rights protection and circulation rules that are more suitable for the development characteristics of the artificial intelligence industry to reduce corporate compliance costs." He hopes to develop and utilize high-quality data sets to promote the formation of more possibilities in the field of artificial intelligence and enhance the "innovation force" for future development. .

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