The robot represented by ChatGPT continues to be popular, the paintings of AI drawing program Midjournal have become popular on social networks, and Baidu’s “ERNIE Bot” has been hotly discussed by netizens… Since this year, ChatGPT is triggering a new round of scientific and technological competition in the field of artificial intelligence.
In recent years, with the continuous improvement of digital infrastructure construction and the acceleration of commercial applications, the development of the artificial intelligence industry has entered the “fast lane”. Industrial policies such as the New Generation Artificial Intelligence Development Plan, Notice of the Ministry of Science and Technology on Supporting the Construction of New Generation Artificial Intelligence Demonstration Application Scenarios, and Three Year Action Plan for the Development of New Data Centers (2021-2023) have provided guarantees for the development of artificial intelligence. In 2022, the total scale of data center racks in use in China exceeded 6.5 million standard racks, and more than 30 cities are currently constructing or proposing to build intelligent computing centers. The innovative development of intelligent computing centers will inject surging momentum into the rapid development of artificial intelligence and related industries.
The industry has a good foundation for development, but we also need to recognize the weak links in the field of artificial intelligence in China. At present, the basic software and hardware of AI are still dominated by large enterprises in European and American countries, and the original innovation capability of AI research and development in China is insufficient; The accumulation of basic theories and underlying technologies is not deep enough, and the emphasis on technological application over basic research hinders significant technological innovation in the field of artificial intelligence; The artificial intelligence market is hot, but there is a lack of understanding and thinking about industrial development, and the industrialization path is not yet clear. Technology enterprises may face low-level homogeneous competition risks when entering the market.
So, how should China contribute to the artificial intelligence revolution triggered by ChatGPT?
Firstlt, strengthen policy guidance and encourage the development and innovation of the artificial intelligence industry. The information and communication industry should have a profound understanding of the significant significance of accelerating the development of the new generation of artificial intelligence, strengthen top-level design, make good plans, clarify tasks, consolidate the foundation, guide its deep integration with economic and social development, and promote the healthy development of the new generation of artificial intelligence in China. We must conscientiously implement the relevant deployment, comprehensively improve the quality and level of artificial intelligence development, promote the transformation of technological innovation achievements from laboratory research to industrial practice, and better support the acceleration of China’s real economy towards digitization, networking, and intelligence. At the same time, in response to some risks and problems in the development of artificial intelligence, timely formulate corresponding policies and measures to promote technology for the good and benefit humanity.
Secondly, focus on scenario requirements and promote innovation in artificial intelligence applications. No matter how enthusiastic the discussion about the transformation of artificial intelligence technology and business models may be, their implementation and application still need to be closely combined with industry needs. The key to further promoting the development of the artificial intelligence industry and transforming innovative elements into practical productivity for promoting high-quality development of the real economy lies in the construction of a collaborative innovation platform. Experts say that to build an artificial intelligence collaborative innovation platform, we need to focus on the demand for landing applications, and achieve faster business aggregation, resource aggregation, and strategic aggregation of artificial intelligence ecological partners. All parties on the platform strengthen the supply of artificial intelligence computing power output, service capability optimization, and talent cultivation, and form an industrial ecosystem of cooperation between upstream and downstream of the industrial chain. From “Internet of Things” to “ubiquitous intelligent connection”, artificial intelligence applications have evolved in depth. The integration and innovation of artificial intelligence and differentiated scene requirements, such as part counting, voice interaction, and high-altitude parabolic detection, have brought practical results to enterprises in product research and development, application services, and business model innovation.
Last but not least, strengthen basic research and build an artificial intelligence “ecosystem” through the joint efforts of “industry, academia, research and application”. At the end of March, the special deployment of “AI for Science” was launched, closely combining the key issues of basic disciplines such as mathematics, physics, chemistry and astronomy, focusing on the scientific research needs of key fields such as drug research and development, gene research, biological breeding, and new material research and development, and laying out the cutting-edge scientific research and development system of “AI driven scientific research”. The relevant person in charge of the Ministry of Industry and Information Technology stated that during the 14th Five Year Plan period, China will accelerate the growth of the artificial intelligence industry and cultivate a good development ecology. Specific measures include organizing innovation consortia composed of large and small enterprises and jointly participating in industry, academia, and research, promoting breakthroughs in key core technologies of artificial intelligence, and improving the level of China’s intelligent chips, development frameworks, and typical intelligent products; Accelerate the application of artificial intelligence in manufacturing, transportation, energy and other fields, and promote the intelligent transformation of key fields; Build industrial clusters, cultivate a group of internationally competitive artificial intelligence leading enterprises, develop a group of specialized, refined, and innovative enterprises, and rely on the pilot zone to create a highland for industrial cluster development. The important role of artificial intelligence in the digital transformation of many fields is becoming increasingly prominent. The rapid updating and iteration of related technologies and algorithms is the source of artificial intelligence innovation, and ecological construction is the key to the prosperity of the artificial intelligence industry. Only by forming a joint force of “industry, academia, research and application” and clarifying the direction of collaborative innovation can we promote the healthy and orderly development of artificial intelligence from the source and expand its application scenarios in many industry fields.