China next-generation artificial intelligence development plan

Here is the plan that China issued in 2017 to foster the development of artificial intelligence in China and to pave the way to China dominance in artificial intelligence by 2030.

New Generation Artificial Intelligence Development Plan

The rapid development of artificial intelligence will profoundly change the life of human society and the world. In order to seize the major strategic opportunities for the development of artificial intelligence, to build the first-mover advantage of the development of artificial intelligence in China, to accelerate the construction of an innovative country and the world's science and technology powerhouse, this plan is formulated in accordance with the deployment requirements of the Party Central Committee and the State Council.

  1. Strategic situation

The development of artificial intelligence has entered a new stage. After more than 60 years of evolution, especially driven by new theories and technologies such as mobile Internet, big data, supercomputing, sensor networks, and brain science, and the strong demand for economic and social development, artificial intelligence has accelerated its development, showing deep learning, New features such as cross-border integration, human-machine collaboration, open group intelligence, and autonomous control. Big data-driven knowledge learning, cross-media collaborative processing, human-machine collaborative enhanced intelligence, group-integrated intelligence, and autonomous intelligent systems have become the focus of artificial intelligence development. Brain-like intelligence inspired by the results of brain science research is ready to go, chip-based hardware The trend of platformization is more obvious, and the development of artificial intelligence has entered a new stage. At present, the overall advancement of the development of new-generation artificial intelligence-related disciplines, theoretical modeling, technological innovation, and software and hardware upgrades is triggering a chain breakthrough, and accelerating the leaps and bounds of digitalization, networking, and intelligence in all areas of the economy and society.

Artificial intelligence has become the new focus of international competition. Artificial intelligence is a strategic technology that leads the future. Major developed countries in the world regard the development of artificial intelligence as a major strategy to enhance national competitiveness and maintain national security, step up the introduction of plans and policies, and strengthen deployment around core technologies, top talents, and standards. Strive to master the right in a new round of international technological competition. At present, China ’s national security and international competition situation is more complicated. It is necessary to look at the world and place artificial intelligence development at the national strategic level. Systematic layout and active planning, firmly grasp the strategic initiative of international competition in the new stage of artificial intelligence development, and create new competitive advantages. Open up new space for development and effectively protect national security.

Artificial intelligence has become a new engine of economic development. As the core driving force of the new round of industrial reform, artificial intelligence will further release the huge energy accumulated in previous scientific and technological revolutions and industrial changes, and create a new powerful engine to reconstruct all aspects of economic activities such as production, distribution, exchange, and consumption. The new intelligent demands in various fields from macro to micro have spawned new technologies, new products, new industries, new formats and new models, triggered major changes in the economic structure, profoundly changed human production and lifestyle and thinking patterns, and achieved an overall leap in social productivity. . China's economic development has entered a new normal, and the task of deepening supply-side structural reform is very arduous. We must accelerate the in-depth application of artificial intelligence, cultivate and grow the artificial intelligence industry, and inject new momentum into China's economic development.

Artificial intelligence brings new opportunities for social construction. China is in the decisive stage of building a well-off society in an all-round way. Challenges such as population aging and resource and environmental constraints are still severe. Artificial intelligence is widely used in education, medical care, pensions, environmental protection, urban operations, judicial services and other fields, which will greatly improve public welfare. Accurate level of service and comprehensively improve people's quality of life. Artificial intelligence technology can accurately sense, predict, and warn of major trends in infrastructure and social security operations, timely grasp of group cognition and psychological changes, and proactive decision-making reactions will significantly improve the ability and level of social governance, which is indispensable for effective maintenance of social stability The role of substitution.

Uncertainty in the development of artificial intelligence brings new challenges. Artificial intelligence is a disruptive technology with a wide range of influences. It may bring about changes in employment structure, impact on laws and social ethics, violation of personal privacy, and challenges to international relations norms. It will have far-reaching effects on government management, economic security and social stability, and even global governance. influences. While vigorously developing artificial intelligence, we must attach great importance to possible security risk challenges, strengthen forward-looking prevention and restraint guidance, minimize risks, and ensure the safe, reliable, and controllable development of artificial intelligence.

China has a good foundation for the development of artificial intelligence. The state has deployed key special projects such as smart manufacturing and other national key R & D plans, printed and implemented the "Internet +" three-year implementation plan for artificial intelligence, and proposed a series of measures in terms of scientific and technological research and development, application promotion and industrial development. After years of continuous accumulation, China has made important progress in the field of artificial intelligence. The number of international scientific and technological paper publications and invention patent authorizations has ranked second in the world, and important breakthroughs have been made in key technologies in some fields. Speech recognition and visual recognition technologies are world-leading. Adaptive autonomous learning, intuitive perception, comprehensive reasoning, hybrid intelligence, and swarm intelligence have preliminary development capabilities. Chinese information processing, intelligent monitoring, biometric recognition, industrial robots, service robots, Unmanned driving has gradually entered into practical applications, artificial intelligence innovation and entrepreneurship have become increasingly active, and a number of leading enterprises have accelerated their growth and gained widespread attention and recognition internationally. The accelerated accumulation of technological capabilities, combined with massive data resources, huge application requirements, and an open market environment, have formed a unique advantage in the development of artificial intelligence in China.

At the same time, we must clearly see that the overall level of development of artificial intelligence in China still has a gap compared with developed countries and lacks major original results. In basic theory, core algorithms and key equipment, high-end chips, major products and systems, basic materials, There is a large gap in components, software and interfaces; scientific research institutions and enterprises have not yet formed an ecological circle and industrial chain with international influence, and lack a systematic advance R & D layout; cutting-edge artificial intelligence talents are far from meeting the needs; adapting to the development of artificial intelligence The infrastructure, policies, regulations and standards system need to be improved.

Facing the new situation and new needs, we must proactively adapt to changes and firmly grasp the major historical opportunities for the development of artificial intelligence, closely follow the development, judge the general trend, actively plan, grasp the direction, and seize the opportunities to lead the new trend of the development of artificial intelligence in the world and serve Economic and social development and support for national security drive the overall leap and leapfrog development of national competitiveness.

Second, the overall requirements

(1) Guiding ideology.

Fully implement the spirit of the 18th National Congress of the Party and the 3rd, 4th, 5th, and 6th Plenary Sessions of the 18th CPC Central Committee, thoroughly study and implement the spirit of General Secretary Xi Jinping's series of important speeches and new ideas and strategies for governing the country, The overall layout of the “One Body” and the “Four Comprehensive” strategic layout, conscientiously implement the decision-making and deployment of the Party Central Committee and the State Council, implement the innovation-driven development strategy in depth, and accelerate the deep integration of artificial intelligence with the economy, society, and national defense to enhance the new generation of artificial intelligence. Scientific and technological innovation capabilities are the main offensive directions, develop a smart economy, build a smart society, maintain national security, build an interactive and integrated ecosystem of knowledge, technology, and industry groups, and support each other with talents, systems, and cultures. Prospectively address risks and challenges, and promote human development. Sustainable development as the center of intelligence, comprehensively enhance social productivity, comprehensive national strength and national competitiveness, to accelerate the construction of an innovative country and the world's science and technology power, to achieve the "two hundred years" struggle goal and the Chinese nation's great revival of the Chinese dream Strong support.

(2) Basic principles.

Technology leads. Grasp the development trend of artificial intelligence in the world, highlight the foresight of R & D and deployment, explore layout and long-term support in key frontier areas, and strive to achieve transformative and disruptive breakthroughs in theories, methods, tools, systems, etc., and comprehensively enhance the original innovation ability of artificial intelligence. Accelerate the construction of first-mover advantages and realize high-end development.

System layout. According to the different characteristics of basic research, technology research and development, industrial development and industry application, formulate a targeted system development strategy. Give full play to the advantages of the socialist system to focus on major events, promote the coordinated layout of projects, bases, and talents. The major projects that have been deployed are organically connected with new tasks. There is an urgent need to continue with the long-term development ladder, innovation capacity building, institutional mechanism reform, and policy environment. Build synergy.

Market-led. Follow the market rules, adhere to the application orientation, highlight the main role of enterprises in the selection of technical routes and the formulation of industry product standards, accelerate the commercialization of artificial intelligence technology achievements, and form a competitive advantage. Grasp the division of labor between the government and the market, and make better use of the government's important role in planning and guidance, policy support, safety precautions, market supervision, environmental construction, and ethical regulations.

Open source and open. Advocate the concept of open source sharing and promote the co-creation and sharing of innovation subjects in production, teaching and research. Follow the law of coordinated development of economic construction and national defense construction, promote the two-way transformation and application of military and civilian scientific and technological achievements, co-construction and sharing of military and civilian innovation resources, and form a new pattern of comprehensive integration of military and civilians with comprehensive elements, multiple fields and high efficiency. Actively participate in the global R & D and governance of artificial intelligence, and optimize the allocation of innovative resources on a global scale.

(3) Strategic goals.

Go in three steps:

The first step is to synchronize the overall artificial intelligence technology and application with the world's advanced level by 2020. The artificial intelligence industry has become a new important economic growth point, and the application of artificial intelligence technology has become a new way to improve people's livelihood. It has strongly supported the entry and realization of innovative countries. The goal of building a well-off society in an all-round way.

— Important progress has been made in the theory and technology of the new generation of artificial intelligence. Big data intelligence, cross-media intelligence, swarm intelligence, hybrid augmented intelligence, autonomous intelligent systems and other basic theories and core technologies have achieved important progress. Artificial intelligence model methods, core devices, high-end equipment and basic software have made landmark achievements.

——The competitiveness of the artificial intelligence industry has entered the first international square. The artificial intelligence technology standard, service system and industrial ecological chain have been initially established, and several leading global artificial intelligence backbone enterprises have been cultivated. The core industry scale of artificial intelligence has exceeded 150 billion yuan, and the scale of related industries has exceeded 1 trillion yuan.

——The development environment of artificial intelligence has been further optimized, and innovative applications have been fully launched in key areas, and a group of high-level talents and innovation teams have been gathered. Artificial intelligence ethics norms and policies and regulations in some areas have been initially established.

The second step is to achieve a major breakthrough in the basic theory of artificial intelligence by 2025, with some technologies and applications reaching world-leading levels. Artificial intelligence has become the main driving force for China's industrial upgrading and economic transformation, and positive progress has been made in the construction of a smart society.

——The preliminary establishment of a new generation of artificial intelligence theory and technology system, artificial intelligence with autonomous learning capabilities has made breakthroughs and achieved leading research results in many fields.

——The artificial intelligence industry has entered the high end of the global value chain. The new generation of artificial intelligence has been widely used in intelligent manufacturing, intelligent medical treatment, smart cities, intelligent agriculture, national defense construction, etc. The core industry scale of artificial intelligence exceeds 400 billion yuan, and the scale of related industries exceeds 5 trillion yuan.

——Preliminarily establish artificial intelligence laws and regulations, ethical norms, and policy systems to form artificial intelligence security assessment and management capabilities.

In the third step, by 2030, artificial intelligence theories, technologies and applications will reach the world's leading level and become the world's main artificial intelligence innovation center. The smart economy and smart society have achieved remarkable results, laying an important foundation for becoming one of the leading countries in innovation and economic power.

——Formation of a relatively mature new-generation artificial intelligence theory and technology system. It has made major breakthroughs in brain-like intelligence, autonomous intelligence, mixed intelligence, and swarm intelligence. It has an important impact in the field of international artificial intelligence research and occupies the commanding heights of artificial intelligence technology.

——The competitiveness of the artificial intelligence industry has reached the international leading level. The breadth and depth of the application of artificial intelligence in all aspects of production and life, social governance, and defense construction have been greatly expanded, forming a complete industrial chain and high-end industrial clusters covering core technologies, key systems, supporting platforms and intelligent applications. The core artificial intelligence industry scale exceeds 1 One trillion yuan has driven the scale of related industries to more than 10 trillion yuan.

——Forming a group of the world's leading artificial intelligence technology innovation and talent training bases, and building a more comprehensive artificial intelligence laws and regulations, ethics norms and policy system.

(4) Overall deployment.

The development of artificial intelligence is a complex system project that concerns the overall situation. It must be laid out in accordance with "building a system, grasping dual attributes, adhering to the Trinity, and strengthening the four major supports" to form a strategic path for the sustainable and sustainable development of artificial intelligence.

Construct an open and collaborative artificial intelligence technology innovation system. Aiming at key and difficult issues such as weak original theoretical foundations, lack of major products and systems, the establishment of a new generation of artificial intelligence basic theories and key common technical systems, the layout and construction of major scientific and technological innovation bases, the expansion of high-end artificial intelligence talents, and the promotion of collaborative interaction between innovative subjects Forming the ability of artificial intelligence to continue to innovate.

Grasp the characteristics of high integration of artificial intelligence technology attributes and social attributes. It is necessary to increase the research and development and application of artificial intelligence to maximize the potential of artificial intelligence; also to predict the challenges of artificial intelligence, coordinate industrial policies, innovation policies and social policies, realize the coordination of incentive development and reasonable regulations, and prevent risks to the greatest extent .

Adhere to the "Trinity" of artificial intelligence research and development, product application and industry cultivation. Adapt to the characteristics and trends of artificial intelligence development, strengthen the deep integration of innovation chain and industry chain, interactive evolution of technology supply and market demand, promote technological applications and industrial upgrading with technological breakthroughs, and promote technology and system optimization with application demonstrations. While promoting technology application and industrial development on a large scale at the same time, we will strengthen the mid-to-long-term R & D layout and research to achieve rolling development and continuous improvement, and ensure that we will theoretically stay ahead, occupy the commanding heights in technology, and be safe and controllable in applications.

Comprehensive support for science and technology, economy, social development and national security. Use artificial intelligence technology breakthroughs to promote the overall improvement of national innovation capabilities and lead the process of building a strong country in science and technology; by expanding the intelligent industry and fostering a smart economy, create a new growth cycle for China's economic prosperity in the next decade or even decades; The society promotes the improvement of people's livelihood and well-being, implements the people-centered development thinking, and uses artificial intelligence to enhance national defense strength and safeguard and maintain national security.

III. Key tasks

Based on the overall national development situation, accurately grasp the global artificial intelligence development situation, identify breakthroughs and main attack directions, comprehensively enhance the basic capabilities of scientific and technological innovation, comprehensively expand the depth and breadth of application in key areas, and comprehensively improve the economic and social development and the level of intelligence in defense applications.

(1) Construct an open and collaborative artificial intelligence technology innovation system.

Focusing on increasing the source of artificial intelligence innovation, we will strengthen deployment from cutting-edge basic theories, key common technologies, basic platforms, and talent teams, promote open source sharing, and systematically enhance continuous innovation capabilities to ensure that China's artificial intelligence technology ranks among the top in the world and is the world The development of artificial intelligence has made more contributions.

  1. Establish a new generation of artificial intelligence basic theoretical system.

Focusing on the major scientific frontier issues of artificial intelligence, taking into account current needs and long-term development, focusing on breaking the basic theoretical bottlenecks of artificial intelligence applications, advanced layout may trigger basic research on artificial intelligence paradigm changes, promote cross-disciplinary integration, and provide continuous development and depth for artificial intelligence Applications provide a strong scientific reserve.

Break through the bottleneck of the basic theory of application. Aiming at the basic theoretical direction of clear application goals and expected to lead the upgrading of artificial intelligence technology, strengthen basic theoretical research on big data intelligence, cross-media sensing computing, human-computer hybrid intelligence, swarm intelligence, autonomous collaboration and decision-making. Big data intelligence theory focuses on breakthroughs in difficult issues such as unsupervised learning and comprehensive deep reasoning. It establishes a data-driven cognitive computing model with natural language understanding as its core, and forms the ability from big data to knowledge and knowledge to decision-making. The cross-media perception computing theory focuses on breakthroughs in low-cost and low-energy intelligent perception, active sensing of complex scenes, natural environment hearing and speech perception, multimedia autonomous learning and other theoretical methods to achieve superhuman perception and highly dynamic, high-dimensional, multi-mode distributed large-scale scene perception . The theory of hybrid augmented intelligence breaks through theories of situational understanding and decision-making, human intuitions and integrative integration, intuitive reasoning and causal models, memory and knowledge evolution, etc., and realizes hybrid augmented intelligence that approaches or exceeds human intelligence. The theory of group intelligence focuses on the theory and methods of organization, emergence, and learning of group intelligence, establishes expressive and calculable group intelligence incentive algorithms and models, and forms an Internet-based group intelligence theory system. The theory of autonomous collaborative control and optimal decision-making focuses on breakthroughs in the theory of collaborative perception and interaction for autonomous unmanned systems, autonomous collaborative control and optimized decision-making, and knowledge-driven ternary collaboration and interoperability of human-machine objects to form the innovation of autonomous intelligent unmanned systems. Theoretical architecture.

Layout of cutting-edge basic theoretical research. Aiming at the directions that may trigger the transformation of the artificial intelligence paradigm, cross-domain basic theoretical research such as advanced machine learning, brain-like intelligent computing, and quantum intelligent computing is laid out. Advanced machine learning theory focuses on the breakthrough of theoretical methods such as adaptive learning and autonomous learning, and realizes artificial intelligence with high interpretability and strong generalization ability. The brain-like intelligent computing theory focuses on breakthroughs in brain-like information coding, processing, memory, learning, and reasoning theories, forming brain-like complex systems and brain-like control and other theories and methods, and establishing new models of large-scale brain-like intelligent computing and brain-inspired Cognitive Computing Model. Quantum intelligent computing theory focuses on breakthroughs in quantum-accelerated machine learning methods, and establishes a hybrid model of high-performance computing and quantum algorithms to form an efficient, accurate and autonomous quantum artificial intelligence system architecture.

Carry out interdisciplinary exploratory research. Promote the cross-integration of artificial intelligence and related basic disciplines such as neuroscience, cognitive science, quantum science, psychology, mathematics, economics, sociology, strengthen the research on the basic mathematical theories leading the development of artificial intelligence algorithms and models, and attach importance to artificial intelligence laws Research on basic theoretical issues of ethics, support for original and non-consensual exploratory research, encourage scientists to explore freely, courageously overcome the frontier scientific problems of artificial intelligence, put forward more original theories, and make more original discoveries.


Box 1 Basic Theory

1. Big data intelligence theory. Research on new methods of artificial intelligence combining data-driven and knowledge guidance, cognitive computing theories and methods with natural language understanding and image graphics as the core, comprehensive deep reasoning and creative artificial intelligence theories and methods, basic theories of intelligent decision-making under incomplete information And frameworks, data-driven general artificial intelligence mathematical models and theories, etc.

2. Cross-media perception computing theory. Research on perceptual acquisition beyond human visual abilities, active visual perception and calculation for the real world, auditory perception and calculation for natural acoustic scenes, speech perception and calculation for natural interactive environments, human-like perception and calculation for asynchronous sequences, media-oriented Intelligent perception autonomous learning, urban full-dimensional intelligent perception inference engine.

3. Hybrid augmented intelligence theory. Research on "human-in-the-loop" hybrid enhanced intelligence, human-computer intelligence symbiosis behavior enhancement and brain-computer collaboration, machine intuitive reasoning and causal models, associative memory models and knowledge evolution methods, hybrid enhanced intelligent learning methods for complex data and tasks, cloud Robot collaborative computing methods, situational understanding in real-world environments, and human-machine group collaboration.

4. Swarm Intelligence Theory. Research the group intelligence structure theory and organization method, group intelligence incentive mechanism and emergence mechanism, group intelligence learning theory and method, group intelligence general computing paradigm and model.

5. Autonomous collaborative control and optimization decision theory. Research theories of collaborative perception and interaction for autonomous unmanned systems, collaborative control and optimization decision-making for autonomous unmanned systems, knowledge-driven ternary collaboration and interoperability of human-machine objects.

6. Advanced machine learning theory. Research the basic theory of statistical learning, uncertainty reasoning and decision making, distributed learning and interaction, privacy protection learning, small sample learning, deep reinforcement learning, unsupervised learning, semi-supervised learning, active learning and other learning theories and efficient models.

7. Brain-like intelligent computing theory. Research theories and methods of brain-like perception, brain-like learning, brain-like memory mechanisms and computational fusion, brain-like complex systems, and brain-like control.

8. Quantum intelligent computing theory. Explore the quantum models and internal mechanisms of brain cognition, research efficient quantum intelligence models and algorithms, high-performance high-bit quantum artificial intelligence processors, and real-time quantum artificial intelligence systems that can interact with the external environment.


  1. Establish the key common technical system of the new generation of artificial intelligence.

Focusing on the urgent need to enhance the international competitiveness of China's artificial intelligence, the R & D and deployment of the key common technologies of the new generation of artificial intelligence should be based on algorithms and based on data and hardware to improve perceptual recognition, knowledge computing, cognitive reasoning, motion execution, Focusing on human-computer interaction capabilities, an open, compatible, stable and mature technology system has been formed.

Knowledge computing engine and knowledge service technology. Focus on breakthroughs in core technologies of knowledge processing, deep search, and visual interaction to achieve automatic acquisition of continuous incremental knowledge, with capabilities for concept recognition, entity discovery, attribute prediction, knowledge evolution modeling, and relationship mining, forming a scale of billions of entities Multi-source, multi-disciplinary and multi-data type cross-media knowledge graph.

Cross-media analytical reasoning techniques. Focus on breakthroughs in cross-media unified representation, correlation understanding and knowledge mining, knowledge map construction and learning, knowledge evolution and reasoning, intelligent description and generation, and other technologies to achieve cross-media knowledge representation, analysis, mining, inference, evolution, and utilization, and build analytical reasoning engine.

Key technologies for swarm intelligence. Focus on breakthroughs in Internet-based popular collaboration, large-scale collaborative knowledge resource management, and open sharing, etc., to establish a group intelligence knowledge representation framework, to achieve knowledge acquisition based on group intelligence perception, and to integrate and enhance group intelligence in an open dynamic environment. Perception, collaboration and evolution of tens of millions of scale groups nationwide.

Hybrid new intelligent architecture and new technologies. Focus on breakthroughs in core technologies such as integrated human-machine sensing and execution models, new sensor devices for intelligent computing advancement, and universal hybrid computing architecture, and build autonomous hybrid environment-enhanced hybrid enhanced intelligent systems and human-machine group hybrid enhanced intelligent systems and support. surroundings.

Intelligent technology for autonomous unmanned systems. Focusing on breakthroughs in common technologies such as autonomous unmanned system computing architecture, complex dynamic scene perception and understanding, real-time precise positioning, adaptive intelligent navigation for complex environments, intelligent technologies such as autonomous control of drones, and autonomous driving of cars, ships, and rail transit, Core technologies such as service robots and special robots support the application and industrial development of unmanned systems.

Virtual reality intelligent modeling technology. Focus on breakthroughs in virtual object intelligent behavior modeling technology, improve the sociality, diversity, and interactive fidelity of intelligent object behavior in virtual reality, and realize the organic combination and efficient interaction of artificial intelligence and other technologies such as virtual reality and augmented reality.

Intelligent computing chips and systems. Focusing on breakthroughs in energy-efficient, reconfigurable brain-like computing chips and brain-like vision sensor technologies with computational imaging capabilities, research and development of high-performance brain-like neural network architectures and hardware systems with autonomous learning capabilities to achieve multimedia-aware information understanding and intelligent growth Brain-like intelligent system with common sense reasoning ability.

Natural language processing technology. Focus on breaking the core technologies of natural language's grammatical logic, character concept representation and deep semantic analysis, promote effective communication and free interaction between humans and machines, and realize the intelligent understanding and automatic generation of natural language in multiple styles, languages ​​and fields.


Box 2 Key Common Technologies

1. Knowledge computing engine and knowledge service technology. Research on knowledge computing and visual interaction engines, research on knowledge service technologies such as innovative design, digital creativity and business intelligence with visual media as the core, and carry out large-scale biological data knowledge discovery.

2. Cross-media analysis and reasoning technology. Research cross-media unified representation, correlation understanding and knowledge mining, knowledge map construction and learning, knowledge evolution and reasoning, intelligent description and generation, and other technologies to develop cross-media analysis and reasoning engines and verification systems.

3. Key technologies for swarm intelligence. Carry out research on key technologies such as active sensing and discovery of group intelligence, knowledge acquisition and generation, collaboration and sharing, evaluation and evolution, human-machine integration and enhancement, self-sustainment and security interaction, build a service architecture of group intelligence space, and study mobile groups Intelligent collaborative decision-making and control technology.

4. Hybrid enhanced intelligent new architecture and new technologies. Research on hybrid enhanced intelligence core technologies, cognitive computing frameworks, new hybrid computing architectures, man-machine co-driving, online intelligent learning technologies, and parallel management and control hybrid enhanced intelligence frameworks.

5. Intelligent technology of autonomous unmanned system. Research on intelligent technologies such as autonomous control of drones and autonomous driving of automobiles, ships, rail transit, service robots, space robots, marine robots, polar robot technologies, unmanned workshop / smart factory intelligence technologies, high-end intelligent control technologies, and autonomous unmanned operations system. Investigate autonomous control technologies for robots and manipulators based on computer vision for positioning, navigation, and recognition in complex environments.

6. Virtual reality intelligent modeling technology. Research on the mathematical expression and modeling methods of intelligent behavior of virtual objects, natural, continuous, and in-depth interaction between virtual objects and virtual environments and users. The technology and method system of intelligent object modeling.

7. Intelligent computing chips and systems. Develop neural network processors and energy-efficient, reconfigurable brain-like computing chips, new sensing chips and systems, intelligent computing architectures and systems, and artificial intelligence operating systems. Research hybrid computing architectures suitable for artificial intelligence.

8. Natural language processing technology. Research on short text calculation and analysis technology, cross-language text mining technology, semantic understanding technology for machine cognitive intelligence, and human-computer dialogue system for multimedia information understanding.


  1. Coordinate the layout of artificial intelligence innovation platform.

Construct an artificial intelligence innovation platform and strengthen the basic support for artificial intelligence research and development applications. The artificial intelligence open source software and hardware foundation platform focuses on the construction of a unified computing framework platform that supports artificial intelligence paradigms such as knowledge reasoning, probability statistics, and deep learning, forming an ecological chain that promotes mutual collaboration between artificial intelligence software, hardware, and intelligent clouds. The swarm intelligence service platform focuses on the construction of knowledge resource management and open sharing tools based on large-scale Internet collaboration, and forms a swarm intelligence crowd-creation platform and service environment for the innovation link of production, learning and research. The hybrid enhanced intelligent support platform focuses on the construction of heterogeneous real-time computing engines and new computing clusters that support large-scale training, and provides a service-oriented, systematic platform and solutions for complex intelligent computing. The autonomous unmanned system support platform focuses on building support systems for common core technologies of artificial intelligence such as environmental perception, autonomous collaborative control, and intelligent decision-making in the complex environment of autonomous unmanned systems to form an open, modular, and reconfigurable autonomous unmanned system Development and test environment. The artificial intelligence basic data and security detection platform focuses on the construction of artificial intelligence-oriented public data resource libraries, standard test data sets, cloud service platforms, etc., and forms the methods, technologies, specifications, and tool sets of artificial intelligence algorithms and platform security testing and evaluation. Promote the open source and openness of various general software and technology platforms. Various platforms must promote military-civilian sharing and sharing in accordance with the requirements of military-civilian in-depth integration and related regulations.


Box 3 Basic Support Platform

1. Artificial intelligence open source software and hardware basic platform. Establish a big data artificial intelligence open source software basic platform, a terminal and cloud collaborative artificial intelligence cloud service platform, a new multi-smart intelligent sensor device and integration platform, a new product design platform based on artificial intelligence hardware, and a big data intelligent service platform in the future network Wait.

2. Group intelligent service platform. Set up a group intelligence computing support platform, a technology group creation service system, a group intelligence software development and verification automation system, a group intelligence software learning and innovation system, an open environment group intelligence decision-making system, and a group intelligence shared economic service system.

3. Hybrid enhanced intelligent support platform. Establish artificial intelligence supercomputing center, large-scale super-intelligent computing support environment, online intelligent education platform, "human-in-the-loop" driving brain, intelligent platform for industrial development complexity analysis and risk assessment, intelligent guarantee platform supporting nuclear power safety operation, human R & D and test platform for co-pilot technology.

4. Autonomous unmanned system support platform. Establish common core technology support platforms for autonomous unmanned systems, autonomous control of drones and support platforms for autopilots of automobiles, ships, and rail transportation, service robots, space robots, marine robots, polar robots, smart factories and intelligent control equipment Platform, etc.

5. Artificial intelligence basic data and security detection platform. Construct a public data resource library, standard test data set, and cloud service platform for artificial intelligence, establish artificial intelligence algorithms and platform security test models and evaluation models, and develop artificial intelligence algorithms and platform security assessment tool sets.


  1. Speed ​​up the training and gathering of high-end artificial intelligence talents.

Take the construction of high-end talents as the top priority of artificial intelligence development, persist in the combination of training and introduction, improve the artificial intelligence education system, strengthen the talent reserve and echelon construction, especially accelerate the introduction of top global talents and young talents, and form our country's artificial intelligence Talent Heights.

Cultivate high-level artificial intelligence innovative talents and teams. Support and cultivate leading AI talents with development potential, and strengthen the training of professional and technical talents in basic research, applied research, and maintenance of artificial intelligence. Attach importance to the training of compound talents, focusing on the training of vertical compound talents that penetrate the theory, methods, technologies, products and applications of artificial intelligence, as well as horizontal compound talents who master the "artificial intelligence +" economy, society, management, standards, and law. Through major R & D tasks and base platform construction, high-end artificial intelligence talents have been gathered, and a number of high-level innovation teams have been formed in several key artificial intelligence areas. Encourage and guide domestic innovative talents and teams to strengthen cooperation and interaction with the world's top artificial intelligence research institutions.

Increase the introduction of high-end artificial intelligence talents. Open up special channels and implement special policies to achieve the accurate introduction of high-end artificial intelligence talents. Focus on the introduction of top international scientists and high-level innovation teams such as neurocognition, machine learning, autonomous driving, and intelligent robots. Encourage the flexible introduction of artificial intelligence talents through project cooperation and technical consultation. Coordinate the use of existing talent programs such as the "Thousand Talents Plan" to strengthen the introduction of outstanding talents in the field of artificial intelligence, especially outstanding young talents. Improve human capital cost accounting related policies, and encourage enterprises and research institutions to introduce artificial intelligence talents.

Building disciplines in artificial intelligence. Improve the discipline layout in the field of artificial intelligence, establish an artificial intelligence specialty, promote the construction of first-level disciplines in the field of artificial intelligence, establish an artificial intelligence school in pilot universities as soon as possible, and increase the number of doctoral and master's students in artificial intelligence-related disciplines. Encourage colleges and universities to expand the content of artificial intelligence professional education on the basis of the original, form a new model of "AI + X" composite professional training, and pay attention to artificial intelligence and mathematics, computer science, physics, biology, psychology, sociology, law and other disciplines Cross integration of professional education. Strengthen industry-university-research cooperation, and encourage institutions of higher learning, scientific research institutes, and enterprises to cooperate in the development of artificial intelligence disciplines.

(2) Cultivate high-end and efficient smart economy.

Accelerate the cultivation of the artificial intelligence industry with a major leading role, promote the deep integration of artificial intelligence and various industrial fields, and form a smart economy that is data-driven, human-machine collaboration, cross-border integration, and co-creation and sharing. Data and knowledge have become the first elements of economic growth. Man-machine collaboration has become the mainstream mode of production and service. Cross-border integration has become an important economic model. Co-creation and sharing have become the basic characteristics of the economic ecology. Personalized demand and customization have become the new trend of consumption. Enhancement, leading the industry to the high-end of the value chain, effectively supporting the development of the real economy, and comprehensively improving the quality and efficiency of economic development.

  1. Vigorously develop artificial intelligence emerging industries.

Accelerate the transformation and application of key artificial intelligence technologies, promote technological integration and business model innovation, promote the innovation of intelligent products in key areas, actively cultivate emerging forms of artificial intelligence, lay out high-end industrial chains, and build artificial intelligence industrial clusters with international competitiveness.

Intelligent software and hardware. Develop key basic software such as artificial intelligence-oriented operating systems, databases, middleware, development tools, break through core hardware such as graphics processors, and study intelligent system solutions such as image recognition, speech recognition, machine translation, intelligent interaction, knowledge processing, and control decision-making. Solutions to cultivate and grow the basic software and hardware industry for artificial intelligence applications.

smart robot. The core components and special sensors of intelligent robots were conquered, and the hardware interface standards, software interface protocol standards, and safe use standards of intelligent robots were improved. Develop intelligent industrial robots and intelligent service robots to achieve large-scale applications and enter the international market. Develop and promote special intelligent robots such as space robots, marine robots, and polar robots. Establish intelligent robot standard system and safety rules.

Smart vehicle. Develop self-driving cars and rail transit systems, strengthen on-board sensing, autonomous driving, Internet of Vehicles, Internet of Things and other technology integration and matching, develop intelligent traffic sensing systems, form China's autonomous autonomous driving platform technology system and product assembly capabilities, and explore autonomous Driving car sharing mode. Develop consumer and commercial drones and unmanned ships, establish a professional service system for testing, identification, testing, and competition, and improve airspace and water management measures.

Virtual reality and augmented reality. Breakthrough key technologies such as high-performance software modeling, content shooting generation, augmented reality and human-computer interaction, integrated environments and tools, develop virtual display devices, optics, high-performance true three-dimensional displays, development engines and other products to establish virtual reality and augmentation Realistic technology, products, service standards and evaluation systems to promote the integration and application of key industries.

Intelligent Terminal. Accelerate the research and development of core technologies and products for smart terminals, develop new generations of mobile smart terminal products and devices such as smart phones, car smart terminals, encourage the development of wearable terminal products such as smart watches, smart headphones, and smart glasses, and expand product forms and application services.

IoT basic devices. Develop high-sensitivity and high-reliability intelligent sensor devices and chips that support the new generation of the Internet of Things, and overcome key technologies such as radio frequency identification, short-range machine communication and other key technologies of the Internet of Things.

  1. Speed ​​up the promotion of industrial intelligence.

Promote the integration and innovation of artificial intelligence and various industries, conduct pilot demonstrations of artificial intelligence applications in key industries and fields such as manufacturing, agriculture, logistics, finance, commerce, and home furnishings, promote the large-scale application of artificial intelligence, and comprehensively improve the intelligent level of industrial development.

Smart manufacturing. Focusing on the major needs of manufacturing powerhouses, we will promote system integration applications such as key technologies and equipment for intelligent manufacturing, core supporting software, and the Industrial Internet, develop smart products and smart connected products, smart manufacturing enabling tools and systems, and smart manufacturing cloud service platforms to promote process intelligent manufacturing. New manufacturing modes such as discrete intelligent manufacturing, networked collaborative manufacturing, remote diagnosis and operation and maintenance services, establish an intelligent manufacturing standard system, and promote the intelligentization of manufacturing life cycle activities.

Smart agriculture. Development of agricultural intelligent sensing and control systems, intelligent agricultural equipment, autonomous systems for agricultural field operations, etc. Establish and improve the intelligent remote sensing monitoring network for the integration of sky and ground. Establish a typical agricultural big data intelligent decision analysis system, and carry out integrated application demonstrations such as smart farms, smart plant factories, smart pastures, smart fisheries, smart orchards, agricultural product processing intelligent workshops, and agricultural green intelligent supply chains.

Smart logistics. Strengthen the research and development and application of intelligent logistics equipment such as intelligent loading and unloading, sorting, packaging, processing and distribution, build a deep-perceived intelligent storage system, and improve the level and efficiency of storage operation management. Improve the intelligent logistics public information platform and command system, product quality certification and traceability system, intelligent distribution scheduling system, etc.

Smart finance. Establish a financial big data system to improve financial multimedia data processing and understanding capabilities. Innovate smart financial products and services and develop new forms of finance. Encourage the financial industry to apply technologies and equipment such as intelligent customer service and intelligent monitoring. Establish an intelligent early warning and prevention and control system for financial risks.

Smart commerce. Encourage the application of new technologies such as cross-media analysis and reasoning, knowledge computing engines and knowledge services in the business field, and promote new artificial intelligence-based business services and decision systems. Build a cross-media big data platform covering geographic location, online media, and urban basic data to support enterprises in developing smart commerce. Encourage the provision of customized business intelligence decision services around personal needs and corporate management.

Smart home. Strengthen the integration and application of artificial intelligence technology and home building systems, and improve the intelligence level of construction equipment and home products. Develop home interconnection protocols and interface standards that adapt to different application scenarios, and improve the perception and connectivity of household products such as home appliances and durable goods. Support the innovative service model of smart home enterprises, and provide interconnection and sharing solutions.

  1. Vigorously develop smart enterprises.

Promote intelligent upgrading of enterprises on a large scale. Support and guide enterprises to apply new artificial intelligence technologies in core business links such as design, production, management, logistics and marketing, build new enterprise organizational structures and operation methods, form a business model of intelligent integration of manufacturing and service, and finance, and develop personalized customization To expand the supply of smart products. Encourage large-scale Internet companies to build cloud manufacturing platforms and service platforms, provide key industrial software and model libraries online to manufacturing companies, carry out manufacturing capacity outsourcing services, and promote the intelligent development of small and medium-sized enterprises.

Promote the application of smart factories. Strengthen the application demonstration of key technologies and system methods of smart factories, focus on the promotion of production line reconfiguration and dynamic intelligent scheduling, production equipment intelligent IoT and cloud data collection, multi-dimensional human-machine collaboration and interoperation technologies, and encourage and guide enterprises to build factories Big data systems, networked and distributed production facilities, etc., realize the networking of production equipment, the visualization of production data, the transparency of the production process, the unmanned production site, and the improvement of the intelligent level of factory operation management.

Accelerate the cultivation of leading companies in the artificial intelligence industry. Accelerate the creation of artificial intelligence global leaders and brands in areas such as drones, voice recognition, and image recognition. Accelerate the cultivation of a number of leading enterprises in emerging fields such as smart robots, smart cars, wearable devices, and virtual reality. Support artificial intelligence companies to strengthen patent layout, lead or participate in the development of international standards. Promote the establishment of China's artificial intelligence industry technology innovation alliance by leading domestic enterprises, industry organizations, scientific research institutions, universities, and so on. Support the backbone enterprises to build open source hardware factories and open source software platforms, form an innovative ecosystem that gathers various resources, and promote the development of artificial intelligence small and micro enterprises and applications in various fields. Support various institutions and platforms to provide professional services to artificial intelligence companies.

  1. Create artificial intelligence innovation highland.

Based on the foundation and advantages of each region, the relevant industrial layout is divided into categories according to the application field of artificial intelligence. Encourage localities to gather high-end elements, high-end enterprises and high-end talents around the artificial intelligence industry chain and innovation chain to build artificial intelligence industry clusters and innovation highlands.

Pilot demonstration of innovative applications of artificial intelligence. In areas where artificial intelligence has a good foundation and great development potential, organize national artificial intelligence innovation experiments, explore major reforms in institutional mechanisms, policies and regulations, and talent cultivation, and promote the transformation of artificial intelligence results, major product integration innovations, and demonstration applications. To form a replicable and popularizable experience that leads to the development of a smart economy and a smart society.

Build a national artificial intelligence industrial park. Relying on national independent innovation demonstration zones and national high-tech industrial development zones and other innovation carriers, we will strengthen the optimal allocation and combination of science and technology, talents, finance, and policies, and accelerate the construction of artificial intelligence industry innovation clusters.

Build a national artificial intelligence crowd creation base. Relying on the concentrated areas of universities and research institutes engaged in artificial intelligence research, establish new entrepreneurial service institutions such as specialized innovation platforms in the field of artificial intelligence, and build a number of low-cost, convenient, full-element, open artificial intelligence creation spaces, and improve Incubate the service system, promote the transfer and transformation of artificial intelligence technology achievements, and support artificial intelligence innovation and entrepreneurship.

(3) Building a safe and convenient intelligent society.

Focusing on the goal of improving people's living standards and quality, the in-depth application of artificial intelligence has been accelerated to form an intelligent environment that is everywhere and ubiquitous, and the level of intelligence in the whole society has been greatly improved. More and more simple, repetitive, and dangerous tasks are completed by artificial intelligence, and individual creativity is greatly exerted, resulting in more high-quality and comfortable jobs; precision intelligent services are more abundant and diverse, and people can Enjoy maximum quality services and convenient life; the level of intelligent social governance has been greatly improved, and social operations have become safer and more efficient.

  1. Develop convenient and efficient intelligent services.

Focusing on the urgent needs of people's livelihood such as education, medical care and old-age care, we will accelerate the innovative application of artificial intelligence to provide the public with personalized, diversified and high-quality services.

Smart education. Use intelligent technology to accelerate the reform of talent training models and teaching methods, and build a new education system that includes intelligent learning and interactive learning. Carry out the construction of intelligent campuses, and promote the application of artificial intelligence in teaching, management, and resource construction. Develop a three-dimensional comprehensive teaching field and an online learning and education platform based on big data intelligence. Develop intelligent education assistants and establish intelligent, fast and comprehensive education analysis systems. Establish a learner-centered education environment, provide accurate push education services, and customize daily education and lifelong education.

Smart medical. Promote the application of new models and methods of artificial intelligence treatment, and establish a fast and accurate intelligent medical system. Explore the construction of smart hospitals, develop surgical robots and intelligent diagnosis and treatment assistants with human-machine collaboration, develop flexible wearable, biocompatible physiological monitoring systems, and develop intelligent clinical diagnosis and treatment solutions with human-machine collaboration to achieve intelligent image recognition, pathological typing, and intelligent multi-discipline consultation. Research on large-scale genomic identification, proteomics, metabolomics, and new drug research and development based on artificial intelligence to promote intelligent pharmaceutical supervision. Strengthen intelligent surveillance and prevention of epidemics.

Smart health and retirement. Strengthen the group intelligent health management, break through key technologies such as health big data analysis and the Internet of Things, develop wearable devices for health management and smart monitoring and monitoring devices for homes, and promote health management from point-based monitoring to continuous monitoring, from short-process management to long-term Process management transformation. Build smart retirement communities and institutions, and build a safe and convenient smart retirement infrastructure system. Strengthen the intelligentization of elderly products and the appropriate ageing of intelligent products, develop audio-visual auxiliary equipment, physical auxiliary equipment and other smart home care equipment, and expand the space for elderly activities. Develop mobile social and service platforms for the elderly and emotional assistants to improve the quality of life of the elderly.

  1. Promote the intelligentization of social governance.

Focusing on hot and difficult issues of social governance such as administrative management, judicial management, urban management, and environmental protection, we will promote the application of artificial intelligence technology and modernize social governance.

Smart government. Develop an artificial intelligence platform suitable for government services and decision-making, develop a decision-making engine for an open environment, and promote its application in major strategic decisions such as research and judgment of complex social issues, policy evaluation, risk early warning, and emergency response. Strengthen the integration of government information resources and accurate prediction of public demand, and unblock the channels of interaction between the government and the public.

Wisdom court. Build a smart court data platform that integrates trials, personnel, data application, judicial disclosure and dynamic monitoring, and promotes the application of artificial intelligence in evidence collection, case analysis, legal document reading and analysis, and realizing the court's trial system and trial capabilities intelligent .

Smart City. Construct urban intelligent infrastructure, develop intelligent buildings, and promote the intelligent transformation and upgrading of municipal infrastructure such as underground corridors; construct urban big data platforms, construct a multi-heterogeneous data fusion urban operation management system, and realize urban infrastructure and urban green space Comprehensive perception of important ecological elements such as forests, wetlands, and in-depth knowledge of the operation of complex urban systems; R & D and construction of community public service information systems, promotion of community service systems and residents' smart home systems; promotion of urban planning, construction, management, and operation Cycle intelligence.

smart transportation. Investigate and establish a technical system for autonomous driving and vehicle-road coordination of operating vehicles. Develop a multi-dimensional traffic information comprehensive big data application platform in complex scenarios, realize intelligent traffic guidance and comprehensive operation coordination and command, and build an intelligent traffic monitoring, management and service system covering the ground, track, low altitude and sea.

Smart and environmentally friendly. Establish an intelligent monitoring big data platform system covering the environmental fields such as the atmosphere, water, and soil, and build an intelligent environmental monitoring network and service platform that integrates land and sea, integrates heaven and earth, co-ordinates, and shares information. Develop intelligent prediction model methods and early warning programs for resource energy consumption and environmental pollutant emissions. Strengthen the construction of intelligent prevention and control systems for environmental protection and environmental emergencies in major strategic regions such as the Beijing-Tianjin-Hebei and the Yangtze River Economic Belt.

  1. Use artificial intelligence to improve public safety guarantee capabilities.

Promote the in-depth application of artificial intelligence in the field of public safety, and promote the establishment of intelligent monitoring, early warning and control systems for public safety. Focusing on the urgent needs of comprehensive social governance, new-type crime investigations, and counter-terrorism, we have developed intelligent security and police products that integrate multiple detection and sensing technologies, video image information analysis and identification technologies, and biometric identification technologies, and establish intelligent monitoring platforms. Strengthen the intelligent transformation and upgrading of security equipment in key public areas, and support communities or cities with conditions to conduct demonstrations of public security areas based on artificial intelligence. Strengthen the protection of artificial intelligence on food safety, and build an intelligent food safety early warning system around food classification, early warning levels, food safety hazards and assessment. Strengthen the effective monitoring of natural disasters by artificial intelligence, and build intelligent monitoring and early warning and comprehensive response platforms around major natural disasters such as earthquake disasters, geological disasters, meteorological disasters, flood and drought disasters, and marine disasters.

  1. Promote social interaction and mutual trust.

Give full play to the role of artificial intelligence technology in enhancing social interaction and promoting credible communication. Strengthen the research and development of next-generation social networks, accelerate the promotion and application of technologies such as augmented reality and virtual reality, promote the collaborative integration of virtual and physical environments, and meet real-time information needs such as personal perception, analysis, judgment and decision-making, and achieve work, study, life, and entertainment Wait for smooth switching in different scenarios. In response to the need to improve interpersonal communication barriers, develop intelligent assistant products with emotional interaction functions that can accurately understand people's needs, and realize a virtuous circle of emotional communication and needs satisfaction. Promote the integration of blockchain technology and artificial intelligence, establish a new social credit system, and minimize the cost and risk of interpersonal communication.

(4) Strengthen military-civilian integration in the field of artificial intelligence.

We will thoroughly implement the strategy for military-civilian integration, and promote the formation of a comprehensive, multi-domain, and highly effective artificial intelligence military-civilian integration pattern. Guided by military-civilian sharing, we will deploy new-generation artificial intelligence basic theories and key common technology research and development, and establish a normalized communication and coordination mechanism for research institutes, universities, enterprises, and military units. Promote the two-way transformation of artificial intelligence technology between military and civilians, strengthen the powerful support of next-generation artificial intelligence technology for command decision-making, military deduction, and defense equipment, etc., and guide the transformation and application of artificial intelligence scientific and technological achievements in the field of defense to civilian applications. Encourage the superior civilian population to participate in major scientific and technological innovation tasks of artificial intelligence in the field of national defense, and promote the rapid integration of various artificial intelligence technologies into the field of national defense innovation. Strengthen the construction of a universal standard system for military and civilian artificial intelligence technology, and promote the overall layout and open sharing of scientific and technological innovation platform bases.

(5) Build a ubiquitous safe and efficient intelligent infrastructure system.

Vigorously promote the construction of intelligent information infrastructure, improve the intelligence level of traditional infrastructure, and form an infrastructure system that meets the needs of the intelligent economy, intelligent society, and national defense construction. Accelerate the promotion of digital and networked information infrastructures with information transmission as the core, and transform to an intelligent information infrastructure that integrates sensing, transmission, storage, computing, and processing. Optimize and upgrade the network infrastructure, research and develop the fifth generation mobile communication (5G) system, improve the Internet of Things infrastructure, accelerate the construction of the integrated information network of heaven and earth, and improve the transmission capacity of low latency and high throughput. Make unified use of big data infrastructure, strengthen data security and privacy protection, and provide massive data support for artificial intelligence research and development and wide application. Build a high-performance computing infrastructure and enhance the supercomputer center's ability to support artificial intelligence applications. Construct a distributed and efficient energy Internet, form a new energy network that supports multi-energy coordination and complementation, and timely and effective access, promote smart energy storage facilities and smart power facilities, and realize real-time matching and intelligent response of energy supply and demand information.


Box 4 Intelligent infrastructure

1. Network infrastructure. Accelerate the development and application of 5G enhanced technology for real-time collaborative artificial intelligence, build a high-precision navigation and positioning network for spatial collaborative artificial intelligence, strengthen the core technology of intelligent sensing IoT and the construction of key facilities, develop the industrial Internet supporting intelligent, Research on intelligent network security architectures, such as human-connected car networking. Accelerate the construction of a world-to-world integrated information network, and promote the comprehensive integration of space-based information networks, future Internet, and mobile communication networks.

2. Big data infrastructure. Relying on public infrastructures such as national data sharing and exchange platforms and data open platforms, the construction of big data basic information databases in the fields of government governance, public services, industrial development, and technology research and development will support the development of national governance big data applications. Integrate various social data platform and data center resources to form an integrated service capability covering the whole country, with a reasonable layout and smooth links.

3. High-performance computing infrastructure. Continue to strengthen the construction of supercomputing infrastructure, distributed computing infrastructure and cloud computing centers, and build a sustainable high-performance computing application ecological environment. Promote the development and application of next-generation supercomputers.


(6) Prospective layout of major new-generation artificial intelligence technology projects.

In response to the urgent needs and weak links in the development of artificial intelligence in China, a major new-generation artificial intelligence technology project has been established. Strengthen overall planning, clarify mission boundaries and R & D priorities, and form a "1 + N" artificial intelligence project group centered on major new-generation artificial intelligence technology projects and supported by existing R & D layouts.

"1" refers to a major new-generation artificial intelligence technology project, focusing on the basic theory and the forward-looking layout of key common technologies, including research on theories of big data intelligence, cross-media sensing computing, hybrid enhanced intelligence, swarm intelligence, autonomous collaborative control and decision-making, etc. Research on knowledge computing engine and knowledge service technology, cross-media analysis and reasoning technology, key technology of swarm intelligence, new architecture and new technology of hybrid enhanced intelligence, autonomous unmanned control technology, etc., open source and share basic artificial intelligence theory and common technology. Continue to carry out predictions and research judgments on the development of artificial intelligence, and strengthen the research on the comprehensive economic and social impact of artificial intelligence and its countermeasures.

"N" refers to the artificial intelligence research and development projects deployed in relevant national planning plans. The focus is to strengthen the connection with the new generation of artificial intelligence major scientific and technological projects, and jointly promote the theoretical research, technological breakthroughs and product research and development applications of artificial intelligence. Strengthen the connection with major national science and technology projects and support the development of artificial intelligence software and hardware in major national science and technology projects such as "nuclear high base" (core electronic devices, high-end general-purpose chips, basic software) and integrated circuit equipment. Strengthen mutual support with other "Science and Technology Innovation 2030-Major Projects", accelerate research in brain science and brain-like computing, quantum information and quantum computing, intelligent manufacturing and robotics, and big data to provide support for major technological breakthroughs in artificial intelligence. The national key research and development plan continues to promote the implementation of key special projects such as high-performance computing and increase support for the development and application of artificial intelligence-related technologies; the National Natural Science Foundation of China strengthens support for cross-disciplinary research and free exploration in the frontiers of artificial intelligence. Strengthen the application demonstration of artificial intelligence technology in major projects such as deep-sea space stations, health protection, and key national R & D plans such as smart cities and smart agricultural equipment. The research results of basic theories and common technologies related to artificial intelligence supported by various other science and technology programs should be open and shared.

Innovate the organization and implementation model of major new-generation artificial intelligence technology projects, adhere to the principle of focusing on major events and key breakthroughs, give full play to the role of market mechanisms, and mobilize departments, localities, enterprises, and all sectors of society to jointly promote implementation. Clarify management responsibilities, conduct regular evaluations, strengthen dynamic adjustments, and improve management efficiency.

Fourth, resource allocation

Make full use of the existing resources such as funds and bases, coordinate the allocation of international and domestic innovation resources, give play to the guiding role of financial investment, policy incentives and the role of market allocation of resources, and leverage enterprises and society to increase investment to form financial funds and finance. New pattern of multi-party support of capital and social capital.

(1) Establish a financial guidance and market-led funding support mechanism.

Coordinate government and market multi-channel funding, increase financial support, revitalize existing resources, and provide support for cutting-edge research on basic artificial intelligence, tackling key common technologies, transfer of achievements, construction of base platforms, and demonstration of innovative applications. Use existing government investment funds to support eligible artificial intelligence projects, and encourage leading enterprises and industry innovation alliances to lead the establishment of market-based artificial intelligence development funds. Use angel investment, venture capital, venture capital funds, and capital market financing to guide social capital to support the development of artificial intelligence. Actively use the government and social capital cooperation models to guide social capital to participate in the implementation of major artificial intelligence projects and the transformation and application of scientific and technological achievements.

(2) Optimize the layout and build artificial intelligence innovation bases.

In accordance with the layout and framework of national science and technology innovation bases, we will make overall plans to promote the construction of several internationally leading innovation bases in the field of artificial intelligence. Guide existing bases related to artificial intelligence related to national key laboratories, enterprise national key laboratories, national engineering laboratories and other bases to focus on the frontier direction of next-generation artificial intelligence to carry out research. In accordance with the prescribed procedures, with enterprises as the main body, industry-university-research cooperation to establish related technologies and industrial innovation bases in the field of artificial intelligence, and give play to the leading role of leading enterprises in technological innovation demonstration. Develop a professional and creative space in the field of artificial intelligence to promote the precise docking of the latest technological achievements and resources and services. Give full play to the role of various innovative bases in gathering talents, funds and other innovative resources, break through the basic frontier theory of artificial intelligence and key common technologies, and carry out application demonstrations.

(3) Coordinate international and domestic innovation resources.

Support domestic artificial intelligence companies to cooperate with leading international artificial intelligence universities, research institutes, and teams. Encourage domestic artificial intelligence companies to “go global” and provide convenience and services for powerful artificial intelligence companies to conduct overseas mergers and acquisitions, equity investments, venture capital investments, and establish overseas R & D centers. Encourage foreign artificial intelligence companies and research institutions to set up R & D centers in China. Relying on the "Belt and Road" strategy, we will promote the construction of artificial intelligence international scientific and technological cooperation bases, joint research centers, etc., and accelerate the promotion and application of artificial intelligence technology in countries along the "Belt and Road". Promote the establishment of an artificial intelligence international organization to jointly formulate relevant international standards. Support relevant industry associations, alliances and service agencies to build a global service platform for artificial intelligence companies.

  1. Safeguard measures

Focusing on the realistic requirements to promote the healthy and rapid development of artificial intelligence in China, properly respond to the challenges that artificial intelligence may bring, form institutional arrangements adapted to the development of artificial intelligence, build an open and inclusive international environment, and consolidate the social foundation for the development of artificial intelligence.

(1) Formulate laws, regulations and ethics rules to promote the development of artificial intelligence.

Strengthen research on legal, ethical, and social issues related to artificial intelligence, and establish legal, regulatory, and ethical frameworks to ensure the healthy development of artificial intelligence. Carry out research on legal issues related to the application of artificial intelligence in the recognition of civil and criminal responsibilities, protection of privacy and property rights, and the use of information security, establish a retrospective and accountability system, and clarify the legal subjects of artificial intelligence and related rights, obligations, and responsibilities. Focusing on subdivided fields with good application foundations such as autonomous driving and service robots, we will speed up research and formulate relevant safety management regulations and lay a legal foundation for the rapid application of new technologies. Carry out research on issues such as behavioral science and ethics of artificial intelligence, and establish a multi-level judgment structure of ethics and ethics and an ethical framework of human-machine collaboration. Formulate ethics and codes of conduct for artificial intelligence product R & D designers, strengthen the assessment of the potential harm and benefits of artificial intelligence, and build solutions to emergencies in complex scenarios of artificial intelligence. Actively participate in the global governance of artificial intelligence, strengthen research on major international common issues of artificial intelligence such as robot alienation and safety supervision, deepen international cooperation in artificial intelligence laws and regulations, and international rules, and jointly address global challenges.

(2) Improve key policies to support the development of artificial intelligence.

Implement fiscal and tax preferential policies for artificial intelligence small and medium-sized enterprises and start-ups, and support the development of artificial intelligence enterprises through policies such as tax incentives and additional deductions for research and development expenses. Improve the implementation of data openness and protection related policies, carry out public data open use reform pilots, support the public and enterprises to fully tap the commercial value of public data, and promote innovation in the application of artificial intelligence. Research and improve the policy system of education, medical treatment, insurance, social assistance and other adaptation to artificial intelligence, and effectively deal with the social problems brought by artificial intelligence.

(3) Establish artificial intelligence technology standards and intellectual property systems.

Strengthen the research on artificial intelligence standard framework system. Adhere to the principles of security, availability, interoperability, and traceability, and gradually establish and improve technical standards such as the basics of artificial intelligence, interoperability, industrial applications, network security, and privacy protection. Accelerate the development of relevant standards for industry associations and alliances in segmented application areas such as driverless and service robots. Encourage artificial intelligence companies to participate in or lead the development of international standards, and use technology standards to "go global" to drive the promotion and application of artificial intelligence products and services overseas. Strengthen the protection of intellectual property in the field of artificial intelligence, improve the interactive support mechanism for technological innovation, patent protection and standardization in the field of artificial intelligence, and promote the intellectualization of the results of artificial intelligence innovation. Establish an artificial intelligence public patent pool to promote the use and diffusion of new artificial intelligence technologies.

(4) Establish an artificial intelligence safety supervision and evaluation system.

Strengthen the research and evaluation of the impact of artificial intelligence on national security and confidentiality, improve the security protection system for people, technology, materials and management, and build an artificial intelligence security monitoring and early warning mechanism. Strengthen the forecast, judgment and follow-up research on the development of artificial intelligence technology, adhere to the problem orientation, and accurately grasp the development trends of technology and industry. Enhance risk awareness, attach importance to risk assessment and prevention and control, strengthen forward-looking prevention and restraint guidance, focus on the impact on employment in the near future, and consider the impact on social ethics in the long run to ensure that the development of artificial intelligence is regulated within a safe and controllable range. Establish and improve an open and transparent artificial intelligence supervision system, implement a two-tier supervision structure that places equal emphasis on design accountability and application supervision, and implement full-process supervision of artificial intelligence algorithm design, product development, and application of results. Promote the self-discipline of the artificial intelligence industry and enterprises, effectively strengthen management, and increase punishment for data misuse, violations of personal privacy, and violation of ethics. Strengthen the research and development of artificial intelligence network security technology, and strengthen the artificial intelligence products and systems network security protection. Construct a dynamic artificial intelligence R & D application evaluation and evaluation mechanism, and develop systematic testing methods and indicator systems around artificial intelligence design, product and system complexity, risk, uncertainty, interpretability, potential economic impact, and other issues. Construct cross-domain artificial intelligence test platforms, promote artificial intelligence safety certification, and evaluate key performance of artificial intelligence products and systems.

(5) Vigorously strengthen artificial intelligence labor training.

Accelerate research on the employment structure, employment mode change and skills requirements of new types of occupations and jobs brought by artificial intelligence, establish a lifelong learning and employment training system that meets the needs of the smart economy and smart society, and support institutions of higher learning, vocational schools and social training Institutions and others have conducted artificial intelligence skills training, which has greatly improved the professional skills of employees and met the needs of high-skilled and high-quality jobs brought by the development of artificial intelligence in China. Encourage enterprises and various institutions to provide artificial intelligence skills training for employees. Strengthen reemployment training and guidance for employees to ensure the smooth transfer of laborers engaged in simple and repetitive tasks and those unemployed due to artificial intelligence.

(6) Extensive artificial intelligence popularization activities.

Support the development of various forms of artificial intelligence science popularization activities, encourage scientific and technological workers to participate in the popularization and promotion of artificial intelligence, and comprehensively improve the entire society's overall awareness and application of artificial intelligence. Implement a smart education program for all, set up artificial intelligence-related courses at the elementary and middle school level, gradually promote programming education, and encourage social forces to participate in the development and promotion of entertaining programming teaching software and games. Construct and improve artificial intelligence popularization infrastructure, give full play to the popularization of various artificial intelligence innovation base platforms, and encourage artificial intelligence companies and research institutions to build open source platforms and open artificial intelligence research and development platforms, production facilities or exhibition halls to the public. Support the development of artificial intelligence competitions and encourage the creation of artificial intelligence science popularization in various forms. Encourage scientists to participate in artificial intelligence science.

Organization and implementation

The next-generation artificial intelligence development plan is a forward-looking plan that has a global and long-term perspective. It is necessary to strengthen organizational leadership, improve the mechanism, aim at the target, keep an eye on the task, and earnestly implement it in the spirit of nailing it.

(1) Organizational leadership.

According to the unified deployment of the Party Central Committee and the State Council, the National Science and Technology System Reform and Innovation System Construction Leading Group leads the overall planning and coordination, reviews major tasks, major policies, major issues, and key work arrangements, promotes the construction of artificial intelligence-related laws and regulations, guides, coordinates and urges Relevant departments do a good job in the implementation of planning tasks. Relying on the inter-ministerial joint meeting of national science and technology plans (special projects, funds, etc.), the ministry of science and technology is responsible for advancing the implementation of major new-generation artificial intelligence technology projects and strengthening the coordination with other planning tasks. Established an artificial intelligence planning promotion office, which is located in the Ministry of Science and Technology and is responsible for promoting the implementation of the plan. Establish an artificial intelligence strategy advisory committee to study artificial intelligence's forward-looking and strategic major issues, and provide consulting and evaluation on major artificial intelligence decisions. Promote the construction of artificial intelligence think tanks, support various types of think tanks to carry out research on major issues of artificial intelligence, and provide strong intellectual support for the development of artificial intelligence.

(2) Guarantee implementation.

Strengthen the breakdown of planning tasks, identify responsible units and schedules, and formulate annual and periodic implementation plans. Establish a monitoring and evaluation mechanism for the implementation of plans such as annual assessments and mid-term assessments. Adapt to the characteristics of the rapid development of artificial intelligence, and strengthen the dynamic adjustment of planning and projects according to the progress of tasks, completion of stage goals, and new trends in technological development.

(3) Pilot demonstration.

For the major tasks and key policies and measures of artificial intelligence, specific plans must be formulated and pilot demonstrations conducted. Strengthen the overall guidance of pilot demonstrations in various departments and localities, and timely summarize and promote replicable experiences and practices. Promote the healthy and orderly development of artificial intelligence through pilot advancement and demonstration.

(4) Guidance by public opinion.

Make full use of various traditional media and emerging media, timely publicize the new progress and new results of artificial intelligence, make the healthy development of artificial intelligence become the consensus of the whole society, and mobilize the whole society to participate in and support the development of artificial intelligence. Guide public opinion in a timely manner to better meet the social, ethical and legal challenges that artificial intelligence development may bring.

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