by Information Disclosure - State Council Documents Statement -
China
July 08,
2017
from
GovChina Website
translation by
Technocracy News
December 21, 2023
from
Technocracy Website
Chinese original version
This 12,000-word tome is straight from the official
Chinese website, and it gives marching orders to
every corner of the country to use AI to implement
Technocracy in China and beyond:
Smart Cities, Smart Agriculture, Smart Society,
Smart Manufacturing, Smart Healthcare, Smart
Economy, Smart Robots, Smart Transportation,
Smart IoT, Smart Finance, Smart Logistics, Smart
Homes, Smart Education, Smart Government, Smart
Courts,
...and more.
This is a cradle-to-grave, a-to-z recipe for
scientific dictatorship, a.k.a. technocracy.
China has long abandoned Communism in favor of
Technocracy.
Source
The State
Council issued the Notice of the Development Plan for...
The New Generation of
Artificial Intelligence
Guofa [2017]
No. 35
The people's governments of all provinces, autonomous regions, and
municipalities directly under the Central Government, all ministries
and commissions of the State Council, and all agencies directly
under the State Council:
The "New Generation
Artificial Intelligence Development Plan" is now issued to you,
please implement it conscientiously.
State Council
July 8, 2017
(This article is released to the public)
New
generation artificial intelligence development plan
The rapid development of
artificial intelligence will profoundly change human social life and
the world.
In order to seize the
major strategic opportunities for the development of artificial
intelligence, build my country's first-mover advantage in the
development of artificial intelligence, and accelerate the
construction of an innovative country and a world science and
technology power, 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, as well as the strong demand for economic and
social development, artificial intelligence has accelerated its
development, showing deep learning, Cross-border integration,
human-machine collaboration, open crowd intelligence, autonomous
control and other new features.
Big data-driven knowledge
learning, cross-media collaborative processing, human-computer
collaboration to enhance intelligence, group integrated
intelligence, and autonomous intelligent systems have become the
focus of the development of artificial intelligence.
Brain-like intelligence
inspired by the results of brain science research is ready to go,
and it will be chip-based and hardware-based. The trend of
platformization has become 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 of breakthroughs and promoting the accelerated
leap from digitalization and networking to intelligence in all
economic and social fields.
Artificial intelligence has become a new focus of international
competition. Artificial intelligence is a strategic technology that
will lead the future. The world's major developed countries regard
the development of artificial intelligence as a major strategy to
enhance national competitiveness and safeguard national security.
They have stepped up the
introduction of plans and policies and strengthened deployment
around core technologies, top talents, standards and regulations,
etc. Strive to take the lead in the new round of international
scientific and technological competition. At present, my country's
national security and international competition situation is more
complex.
We must look at the
world, put the development of artificial intelligence at the
national strategic level, plan systematically and proactively,
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 ensure national security.
Artificial intelligence has become a new engine for economic
development. As the core driving force of a new round of industrial
transformation, artificial intelligence will further release the
huge energy accumulated in previous scientific and technological
revolutions and industrial changes, and create new powerful engines
to reconstruct all aspects of economic activities such as
production, distribution, exchange, and consumption, forming a New
demands for intelligence 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, lifestyles, and thinking
patterns, and achieved an overall jump in social productivity.
My country's economic
development has entered a new normal, and the task of deepening
supply-side structural reform is very arduous. It is necessary to
accelerate the in-depth application of artificial intelligence,
cultivate and expand the artificial intelligence industry, and
inject new momentum into my country's economic development.
Artificial intelligence brings new opportunities for social
construction. Our country is in the decisive stage of building a
moderately prosperous society in an all-round way. Challenges such
as an aging population and resource and environmental constraints
are still severe. Artificial intelligence is widely used in
education, medical care, elderly care, environmental protection,
urban operations, judicial services and other fields, which will
greatly improve public health.
The level of precision in
services comprehensively improves the quality of people's lives.
Artificial intelligence technology can accurately perceive, predict,
and provide early warning of major trends in infrastructure and
social security operations, timely grasp group cognitive and
psychological changes, and proactively make decisions and responses.
It will significantly
improve the ability and level of social governance, and is
indispensable for effectively maintaining social stability. The role
of substitution.
Uncertainty in the development of artificial intelligence brings new
challenges. Artificial intelligence is a disruptive technology with
wide impact. It may bring about problems such as changing the
employment structure, impacting laws and social ethics, invading
personal privacy, and challenging the norms of international
relations.
It will have far-reaching
consequences for government management, economic security, social
stability, and even global governance. Influence.
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.
My country has a good foundation for developing artificial
intelligence. The country has deployed key national research and
development plan projects such as intelligent manufacturing, issued
and implemented a three-year action plan for "Internet +" artificial
intelligence, and proposed a series of measures from the aspects of
scientific and technological research and development, application
promotion and industrial development. After years of continuous
accumulation, my country has made important progress in the field of
artificial intelligence.
The number of
international scientific papers published and the number of
invention patents granted has ranked second in the world, and core
key technologies in some fields have achieved important
breakthroughs.
Speech recognition and
visual recognition technology lead the world. Adaptive autonomous
learning, intuitive perception, comprehensive reasoning, hybrid
intelligence and swarm intelligence have the initial ability to
develop by leaps and bounds.
Chinese information
processing, intelligent monitoring, biometric identification,
industrial robots, service robots, Unmanned driving is gradually
entering practical applications, artificial intelligence innovation
and entrepreneurship are becoming increasingly active, and a number
of leading enterprises have accelerated their growth and have gained
widespread attention and recognition internationally.
The accelerated
accumulation of technical capabilities, the organic combination of
massive data resources, huge application demands, and an open market
environment have formed unique advantages for the development of
artificial intelligence in my country.
At the same time, we must also be soberly aware that there is still
a gap between the overall development level of artificial
intelligence in my country and developed countries, and there is a
lack of major original achievements. In basic theory, core
algorithms and key equipment, high-end chips, major products and
systems, basic materials.
There is a big gap in
components, software and interfaces; scientific research
institutions and enterprises have not yet formed an ecosystem and
industrial chain with international influence, and lack a systematic
advanced R&D layout; cutting-edge artificial intelligence talents
are far from meeting the demand; adapting to the development of
artificial intelligence.
The infrastructure,
policies, regulations, and standard systems need to be improved
urgently.
In the face of new situations and new demands, we must proactively
seek changes and adapt to changes, firmly grasp the major historical
opportunities for the development of artificial intelligence,
closely follow development, analyze the general trend, proactively
plan, grasp the direction, seize opportunities, lead the new trend
of artificial intelligence development in the world, and serve
Economic and social development and supporting national security
will drive the overall improvement and leap-forward development of
national competitiveness.
2. Overall
requirements
(1) Guiding
ideology.
Comprehensively implement the spirit of the 18th National
Congress of the Communist Party of China and the Third, Fourth,
Fifth and Sixth Plenary Sessions of the 18th Central Committee,
and thoroughly study and implement the spirit of General
Secretary Xi Jinping's series of important speeches and new
concepts, new ideas and new strategies in governance, in
accordance with the "Five "One" overall layout and "Four
Comprehensives" strategic layout, conscientiously implement the
decisions and deployments of the Party Central Committee and the
State Council, in-depth implementation of the innovation-driven
development strategy, with the main line of accelerating the
in-depth integration of artificial intelligence with economy,
society, and national defense, and to enhance the new generation
of artificial intelligence.
The main direction of
scientific and technological innovation capabilities is to
develop smart economy, build smart society, safeguard national
security, build an ecosystem of interactive integration of
knowledge groups, technology groups, and industrial groups and
mutual support of talents, systems, and culture, proactively
respond to risks and challenges, and promote human-centered
development.
Intelligentization
with sustainable development as the center comprehensively
enhances social productivity, comprehensive national strength
and national competitiveness, and provides opportunities for
accelerating the construction of an innovative country and a
world science and technology power, realizing the "Two Centenary
Goals" and the Chinese dream of the great rejuvenation of the
Chinese nation. Strong support.
(2)
Basic principles
Technology leads
Grasp the development
trend of artificial intelligence in the world, highlight the
forward-looking development of research and development, explore
layout and long-term support in key frontier fields, strive to
achieve transformative and disruptive breakthroughs in theories,
methods, tools, systems, etc., and comprehensively enhance the
original innovation capabilities of artificial intelligence.
Accelerate the construction of first-mover advantages and
achieve high-end leading development.
System layout
Formulate targeted
system development strategies based on the different
characteristics of basic research, technology research and
development, industrial development and industry applications.
Give full play to the advantages of the socialist system in
concentrating efforts on big things, promote the overall layout
of projects, bases, and talents.
The major projects
that have been deployed are organically connected with new
tasks. The current urgent need is to connect with the long-term
development echelon, to build innovation capabilities, to reform
systems and mechanisms, and to policy environment. Create
collaborative efforts.
Market dominance
Follow the laws of
the market, 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 commercial application of artificial intelligence scientific
and technological achievements, and form a competitive
advantage. Grasp the division of labor between the government
and the market, and better leverage the government's important
role in planning guidance, policy support, safety precautions,
market supervision, environmental creation, and formulation of
ethical regulations.
Open source
Advocate the concept
of open source sharing and promote the co-creation and sharing
of innovative entities in industry, academia, 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, and the joint
construction and sharing of military and civilian innovative
resources, and form a new pattern of deep military-civilian
integrated development with all factors, multiple fields, and
high efficiency.
Actively participate
in the global research and development and governance of
artificial intelligence, and optimize the allocation of
innovative resources on a global scale.
(3)
Strategic goals
Take it in three steps:
The first step is that by 2020, the overall technology and
application of artificial intelligence will be synchronized with
the world's advanced level, the artificial intelligence industry
will become a new important economic growth point, and the
application of artificial intelligence technology will become a
new way to improve people's livelihood, strongly supporting the
entry into the ranks of innovative countries and the realization
of The goal of building a moderately prosperous society in all
respects.
- The new
generation of artificial intelligence theory and technology
has made important progress. Important progress has been
made in basic theories and core technologies such as big
data intelligence, cross-media intelligence, swarm
intelligence, hybrid enhanced intelligence, and autonomous
intelligent systems, and landmark results have been achieved
in artificial intelligence model methods, core devices,
high-end equipment, and basic software.
- The competitiveness of the artificial intelligence
industry has entered the international first phalanx.
Preliminarily establish artificial intelligence technology
standards, service systems and industrial ecological chains,
and cultivate a number of world-leading artificial
intelligence backbone enterprises. The scale of the core
artificial intelligence industry exceeds 150 billion yuan,
driving the scale of related industries to exceed 1 trillion
yuan.
- The development environment of artificial intelligence has
been further optimized, innovative applications have been
comprehensively launched in key areas, a group of high-level
talents and innovation teams have been gathered, and
artificial intelligence ethical norms, policies and
regulations in some fields have been initially established.
In the second step,
by 2025, major breakthroughs will be achieved in the basic
theory of artificial intelligence, and some technologies and
applications will reach the world's leading level.
Artificial
intelligence will become the main driving force for my country's
industrial upgrading and economic transformation, and positive
progress will be made in the construction of an intelligent
society.
- The new
generation of artificial intelligence theory and technology
system has been initially established, artificial
intelligence with autonomous learning capabilities has made
breakthroughs, and has 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 is widely used in fields such as
smart manufacturing, smart medical care, smart cities, smart
agriculture, and national defense construction. The scale of
the core artificial intelligence industry exceeds 400
billion yuan, driving the scale of related industries to
exceed 5 trillion yuan.
- Initially establish an artificial intelligence legal,
regulatory, ethical and policy system to form artificial
intelligence safety assessment and control capabilities.
The third step is to
reach the world's leading level in artificial intelligence
theory, technology and application by 2030, becoming the world's
major artificial intelligence innovation center, achieving
significant results in smart economy and smart society, and
laying an important foundation for becoming a leading innovative
country and an economic power.
- Form a
relatively mature new generation of artificial intelligence
theory and technology system. It has made major
breakthroughs in the fields of brain-like intelligence,
autonomous intelligence, hybrid intelligence and swarm
intelligence. It has an important influence 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 national defense construction have been
greatly expanded, forming a complete industrial chain and
high-end industrial cluster covering core technologies, key
systems, support platforms, and intelligent applications.
The scale of the core artificial intelligence industry has
exceeded 1 trillion yuan, driving the scale of related
industries to exceed 10 trillion yuan.
- Form a number of world-leading artificial intelligence
technological innovation and talent training bases, and
build a more complete artificial intelligence legal,
regulatory, ethical and policy system.
(4) Overall
deployment
The development of artificial intelligence is a complex system
project that affects 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 healthy and
sustainable development of artificial intelligence.
Build an open and collaborative artificial intelligence
technology innovation system.
In response to key
and difficult issues such as weak original theoretical
foundations and lack of major products and systems, establish a
new generation of basic artificial intelligence theories and key
common technology systems, layout and build major scientific and
technological innovation bases, strengthen the team of high-end
artificial intelligence talents, and promote collaborative
interaction among innovative entities. Form artificial
intelligence continuous innovation capabilities.
Grasp the highly integrated characteristics of artificial
intelligence's technical 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; it is also necessary to predict the
challenges of artificial intelligence, coordinate industrial
policies, innovation policies and social policies, achieve
coordination between incentive development and reasonable
regulations, and prevent risks to the greatest extent.
Adhere to the "three-in-one" promotion 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 industrial chain, and the interactive evolution of
technology supply and market demand, promote field applications
and industrial upgrading with technological breakthroughs, and
promote technology and system optimization with application
demonstrations.
While currently
promoting technology application and industrial development on a
large scale, we will strengthen mid- and long-term R&D layout
and key research, achieve rolling development and continuous
improvement, and ensure that we are ahead in theory, occupy the
commanding heights technically, and are safe and controllable in
application.
Comprehensively support science and technology, economy, social
development and national security. Use artificial intelligence
technology breakthroughs to comprehensively improve the
country's innovation capabilities and lead the process of
building a world science and technology power; by strengthening
intelligent industries and cultivating intelligent economies, we
will create a new growth cycle for our country's economic
prosperity in the next ten or even decades; to build
intelligent.
The society promotes
the improvement of people's livelihood and well-being and
implements people-centered development ideas; uses artificial
intelligence to enhance national defense strength and ensure and
maintain national security.
3. Key tasks
Based on the overall development of the country, accurately grasp
the global artificial intelligence development trend, identify
breakthroughs and main directions of attack, comprehensively enhance
the basic capabilities of scientific and technological innovation,
comprehensively expand the depth and breadth of applications in key
areas, and comprehensively improve the level of economic and social
development and national defense application intelligence.
(1)
Build an open and collaborative artificial intelligence
technology innovation system.
Focusing on increasing the source supply of artificial
intelligence innovation, strengthen deployment from cutting-edge
basic theories, key common technologies, basic platforms, talent
teams, etc., promote open source sharing, systematically improve
continuous innovation capabilities, ensure that my country's
artificial intelligence technology level ranks among the top in
the world, and serve the world Make more contributions to the
development of artificial intelligence.
1. Establish a
new generation of artificial intelligence basic theoretical
system.
Focus on major scientific frontier issues of artificial
intelligence, take into account current needs and long-term
development, focus on breaking through the bottleneck of
basic theories of artificial intelligence applications, and
advance basic research that may trigger changes in the
artificial intelligence paradigm, promote cross-disciplinary
integration, and provide a basis for the sustainable
development and depth of artificial intelligence.
The application
provides a strong scientific reserve.
Break through the bottleneck of applying basic theories
Aiming at the
basic theoretical direction with clear application goals and
expected to lead the upgrade of artificial intelligence
technology, strengthen basic theoretical research on big
data intelligence, cross-media perception computing,
human-computer hybrid intelligence, swarm intelligence,
autonomous collaboration and decision-making, etc.
Big data
intelligence theory focuses on breaking through difficult
problems such as unsupervised learning and comprehensive
deep reasoning, establishing a data-driven cognitive
computing model with natural language understanding as the
core, and forming the ability to move from big data to
knowledge, and from knowledge to decision-making.
Cross-media
perception computing theory focuses on breakthroughs in
theoretical methods such as low-cost and low-energy
intelligent perception, active perception of complex scenes,
natural environment auditory and speech perception, and
multimedia autonomous learning to achieve superhuman
perception and highly dynamic, high-dimensional, multi-modal
distributed large-scene perception.
Hybrid augmented
intelligence theory focuses on breakthroughs in
human-computer collaboration and integration of situational
understanding and decision-making learning, intuitive
reasoning and causal models, memory and knowledge evolution,
etc., to achieve hybrid augmented intelligence where
learning and thinking are close to or exceed the level of
human intelligence.
The theory of
swarm intelligence focuses on breaking through the theories
and methods of organization, emergence, and learning of
swarm intelligence, establishing expressible and computable
crowd intelligence stimulation algorithms and models, and
forming a swarm intelligence theoretical system based on the
Internet.
The theory of
autonomous collaborative control and optimized
decision-making focuses on breakthroughs in theories such as
collaborative perception and interaction for autonomous
unmanned systems, autonomous collaborative control and
optimized decision-making, and knowledge-driven
human-machine-object three-dimensional collaboration and
interoperability, forming the innovation of autonomous
intelligent unmanned systems. Theoretical architecture.
Lay out frontier basic theoretical research
Aiming at
directions that may lead to changes in the artificial
intelligence paradigm, we proactively plan cross-field basic
theoretical research on advanced machine learning,
brain-like intelligent computing, and quantum intelligent
computing.
Advanced machine
learning theory focuses on breakthroughs in theoretical
methods such as adaptive learning and autonomous learning to
achieve artificial intelligence with high interpretability
and strong generalization capabilities.
Brain-like
intelligent computing theory focuses on breaking through
brain-like information coding, processing, memory, learning
and reasoning theories, forming brain-like complex systems
and brain-like control theories and methods, and
establishing new models of large-scale brain-like
intelligent computing and brain-inspired Cognitive computing
models.
Quantum
intelligent computing theory focuses on breakthroughs in
quantum accelerated machine learning methods, establishing a
hybrid model of high-performance computing and quantum
algorithms, and forming an efficient, accurate and
autonomous quantum artificial intelligence system
architecture.
Conduct interdisciplinary exploratory research
Promote the
cross-integration of artificial intelligence with relevant
basic disciplines such as neuroscience, cognitive science,
quantum science, psychology, mathematics, economics,
sociology, etc., strengthen research on basic mathematical
theories that lead the development of artificial
intelligence algorithms and models, and pay attention to
artificial intelligence laws.
Research on basic
theoretical issues in ethics supports exploratory research
with strong originality and non-consensus, encourages
scientists to explore freely, and has the courage to
overcome cutting-edge scientific problems in artificial
intelligence, propose more original theories, and make more
original discoveries.
Column 1 Basic Theory
1. Big data intelligence theory
Research new
artificial intelligence methods that combine 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,
and basic theories of intelligent decision-making under
incomplete information and frameworks, data-driven
general artificial intelligence mathematical models and
theories, etc.
2. Cross-media perceptual computing theory
Research on
perceptual acquisition beyond human visual capabilities,
active visual perception and computation for the real
world, auditory perception and computation of natural
acoustic scenes, speech perception and computation of
natural interactive environments, human-like perception
and computation for asynchronous sequences,
media-oriented Intelligent sensing autonomous learning,
urban full-dimensional intelligent sensing reasoning
engine.
3. Hybrid augmented intelligence theory
Research on
"human-in-the-loop" hybrid augmented intelligence,
behavioral enhancement and brain-machine collaboration
of human-computer intelligence symbiosis, machine
intuitive reasoning and causal models, associative
memory models and knowledge evolution methods, hybrid
augmented intelligence learning methods for complex data
and tasks, cloud Robot collaborative computing methods,
situation understanding in real-world environments, and
human-machine group collaboration.
4. Swarm intelligence theory
Research
swarm intelligence structure theory and organizational
methods, swarm intelligence incentive mechanism and
emergence mechanism, swarm intelligence learning theory
and methods, and swarm intelligence general computing
paradigms and models.
5. Autonomous collaborative control and optimal
decision-making theory
Research on
theories such as collaborative perception and
interaction for autonomous unmanned systems,
collaborative control and optimal decision-making for
autonomous unmanned systems, and knowledge-driven
three-dimensional collaboration and interoperability of
humans, machines, and objects.
6. Advanced machine learning theory
Research
basic theories of statistical learning, uncertainty
reasoning and decision-making, distributed learning and
interaction, privacy-preserving 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 such as brain-like perception,
brain-like learning, brain-like memory mechanism and
computing fusion, brain-like complex systems, and
brain-like control.
8. Quantum intelligent computing theory
Explore the
quantum patterns and intrinsic mechanisms of brain
cognition, research efficient quantum intelligence
models and algorithms, high-performance and high-bit
quantum artificial intelligence processors, real-time
quantum artificial intelligence systems that can
exchange information with the external environment, etc.
2. Establish a new generation of key common technology
systems for artificial intelligence
Focusing on the urgent need to enhance the international
competitiveness of my country's artificial intelligence, the
research and development and deployment of key common
technologies of the new generation of artificial
intelligence must be based on algorithms and based on data
and hardware to improve perception and recognition,
knowledge calculation, 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, in-depth search and visual interaction, to
achieve automatic acquisition of continuous incremental
knowledge, with the capabilities of concept recognition,
entity discovery, attribute prediction, knowledge
evolution modeling and relationship mining, forming a
scale covering billions of entities A multi-source,
multi-disciplinary and multi-data type cross-media
knowledge graph.
Cross-media analytical reasoning technology
Focus on
breaking through technologies such as cross-media
unified representation, association understanding and
knowledge mining, knowledge graph construction and
learning, knowledge evolution and reasoning, intelligent
description and generation, etc., to realize cross-media
knowledge representation, analysis, mining, reasoning,
evolution and utilization, and build analytical
reasoning engine.
Key technologies of swarm intelligence
Focus on
breakthroughs in technologies such as Internet-based
popular collaboration, large-scale collaborative
knowledge resource management and open sharing,
establish a group intelligence knowledge representation
framework, realize knowledge acquisition based on group
intelligence sensing and group intelligence integration
and enhancement in an open dynamic environment, and
support The perception, collaboration and evolution of
tens of millions of groups covering the whole country.
Hybrid augmented intelligence new architecture and
new technologies
Focus on
breakthroughs in core technologies such as the
integrated perception and execution model of
human-machine collaboration, new sensor devices that
move forward in intelligent computing, and general
hybrid computing architecture, to build hybrid enhanced
intelligent systems that autonomously adapt to the
environment, and hybrid enhanced intelligent systems and
support for human-machine groups. environment.
Intelligent technologies for autonomous unmanned
systems
Focus on
breakthroughs in common technologies such as autonomous
unmanned system computing architecture, complex dynamic
scene perception and understanding, real-time precise
positioning, and adaptive intelligent navigation for
complex environments, as well as 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 of unmanned systems and
industrial development.
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 achieve the organic combination
and efficient interaction of virtual reality, augmented
reality and other technologies with artificial
intelligence.
Intelligent computing chips and systems
Focus on
breakthroughs in high-energy-efficiency, reconfigurable
brain-like computing chips and brain-like visual sensor
technologies with computational imaging functions, and
develop high-performance brain-like neural network
architectures and hardware systems with autonomous
learning capabilities to achieve multimedia perception,
information understanding and intelligent growth ,
brain-like intelligent system with common sense
reasoning ability.
Natural language processing technology
Focus on
breaking through the core technologies of grammatical
logic, character concept representation and deep
semantic analysis of natural language, promote effective
communication and free interaction between humans and
machines, and achieve intelligent understanding and
automatic generation of natural language in multiple
styles, languages and fields.
Column 2 Key common technologies
1. Knowledge computing engine and knowledge service
technology
Research
knowledge computing and visual interaction engines,
research innovative design, digital creativity and
business intelligence with visual media as the core and
other knowledge service technologies, and carry out
knowledge discovery of large-scale biological data.
2. Cross-media analysis and reasoning technology
Research
technologies such as cross-media unified representation,
association understanding and knowledge mining,
knowledge graph construction and learning, knowledge
evolution and reasoning, intelligent description and
generation, and develop cross-media analysis and
reasoning engines and verification systems.
3. Key technologies of swarm intelligence
Carry out
research on key technologies such as active perception
and discovery, knowledge acquisition and generation,
collaboration and sharing, evaluation and evolution,
human-machine integration and enhancement,
self-sustainment and safe interaction of group
intelligence, build a service architecture for group
intelligence space, and study mobile groups Intelligent
collaborative decision-making and control technology.
4. Mix new architectures and new technologies for
enhanced intelligence
Research
hybrid enhanced intelligence core technology, cognitive
computing framework, new hybrid computing architecture,
human-machine co-driving, online intelligent learning
technology, and hybrid enhanced intelligence framework
for parallel management and control.
5. Intelligent technology for autonomous unmanned
systems
Research on
intelligent technologies such as autonomous control of
drones and autonomous driving of automobiles, ships, and
rail transit, service robots, space robots, marine
robots, and polar robot technologies, unmanned workshop
/ smart factory intelligent technologies, high-end
intelligent control technologies, and autonomous
unmanned operations system. Research on computer
vision-based positioning, navigation, recognition and
other autonomous control technologies for robots and
robotic arms in complex environments.
6. Virtual reality intelligent modeling technology
Study the
mathematical expression and modeling methods of
intelligent behavior of virtual objects, issues such as
natural, continuous and in-depth interaction between
virtual objects, virtual environments and users, and the
technology and method system of intelligent object
modeling.
7. Intelligent computing chips and systems
Research and
develop neural network processors and
high-energy-efficiency, reconfigurable brain-inspired
computing chips, new sensing chips and systems,
intelligent computing architecture and systems, and
artificial intelligence operating systems. Research
hybrid computing architecture suitable for artificial
intelligence, etc.
8. Natural language processing technology
Research
short text computing and analysis technology,
cross-language text mining technology and semantic
understanding technology for machine cognitive
intelligence, and human-computer dialogue systems for
multimedia information understanding.
3. Coordinate the layout of the artificial intelligence
innovation platform.
Build and deploy an artificial intelligence innovation
platform and strengthen basic support for artificial
intelligence research and development applications.
The artificial
intelligence open source software and hardware basic
platform focuses on building 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 crowd
intelligence service platform focuses on building knowledge
resource management and open sharing tools based on
large-scale Internet collaboration, forming a crowd
intelligence and crowd-creation platform and service
environment oriented to the innovation links of industry,
academia, research and application.
The hybrid
enhanced intelligent support platform focuses on building
heterogeneous real-time computing engines and new computing
clusters that support large-scale training, and provides
service-oriented and systematic platforms and solutions for
complex intelligent computing.
The autonomous
unmanned system support platform focuses on building a
support system for common artificial intelligence core
technologies such as environmental perception, autonomous
collaborative control, and intelligent decision-making in
complex environments of autonomous unmanned systems, forming
an open, modular, and reconfigurable autonomous unmanned
system. Development and testing environment.
The artificial
intelligence basic data and security detection platform
focuses on building public data resource libraries, standard
test data sets, cloud service platforms, etc. for artificial
intelligence to form methods, technologies, specifications
and tool sets for artificial intelligence algorithm and
platform security testing and evaluation. Promote the open
source of various general software and technology platforms.
Various platforms
must promote military-civilian sharing and sharing in
accordance with the requirements for in-depth
military-civilian integration and relevant regulations.
Column 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, an artificial intelligence cloud service
platform for terminal and cloud collaboration, a new
multi-smart sensor device and integration platform, a
new product design platform based on artificial
intelligence hardware, and a big data intelligent
service platform in future networks. wait.
2. Group intelligent service platform
Establish a
crowd-intelligence and crowd-innovation computing
support platform, a science and technology
crowd-innovation service system, a crowd-intelligence
software development and verification automation system,
a crowd-intelligence software learning and innovation
system, an open environment crowd-intelligence
decision-making system, and a crowd-intelligence sharing
economic service system.
3. Hybrid enhanced intelligent support platform
Establish an
artificial intelligence supercomputing center, a
large-scale superintelligent computing support
environment, an online intelligent education platform, a
"human-in-the-loop" driving brain, an intelligent
platform for industrial development complexity analysis
and risk assessment, an intelligent guarantee platform
to support the safe operation of nuclear power, and a
human R&D and testing platform for ride-sharing
technology, etc.
4. Autonomous unmanned system support platform
Establish
common core technology support platforms for autonomous
unmanned systems, autonomous drone control and
autonomous driving support platforms for automobiles,
ships and rail transit, service robots, space robots,
marine robots, and polar robot support platforms, and
technical support for smart factories and intelligent
control equipment. Platform etc.
5. Artificial intelligence basic data and security
detection platform
Build public
data resource libraries, standard test data sets, and
cloud service platforms for artificial intelligence,
establish artificial intelligence algorithm and platform
security test models and evaluation models, and develop
artificial intelligence algorithm and platform security
evaluation tool sets.
4. Accelerate the cultivation and gathering of high-end
artificial intelligence talents
Make the construction of a high-end talent team the top
priority in the development of artificial intelligence,
insist on combining training and introduction, improve the
artificial intelligence education system, strengthen talent
reserves and echelon construction, especially accelerate the
introduction of the world's top talents and young talents,
and form my country's artificial intelligence Talent high
ground.
Cultivate high-level artificial intelligence innovative
talents and teams.
Support and
cultivate leading artificial intelligence talents with
development potential, and strengthen the training of
professional and technical talents in basic research,
applied research, operation and maintenance of artificial
intelligence.
Pay attention to
the cultivation of compound talents, focusing on cultivating
vertical compound talents who are well versed in artificial
intelligence theory, methods, technology, products and
applications, as well as horizontal compound talents who
master the "artificial intelligence +" economy, society,
management, standards, laws, etc.
Through major
research and development tasks and base platform
construction, we will gather high-end artificial
intelligence talents and form a number of high-level
innovation teams in several key areas of artificial
intelligence.
Encourage and
guide domestic innovative talents and teams to strengthen
cooperation and interaction with the world's top artificial
intelligence research institutions.
Increase efforts to introduce high-end artificial
intelligence talents. Open up special channels and implement
special policies to achieve the precise introduction of
high-end artificial intelligence talents. Focus on
introducing top international scientists and high-level
innovation teams in neurocognition, machine learning,
autonomous driving, intelligent robots, etc.
Encourage the
flexible introduction of artificial intelligence talents
through project cooperation, technical consultation, etc.
Coordinate and utilize existing talent plans such as the
"Thousand Talents Plan" to strengthen the introduction of
outstanding talents in the field of artificial intelligence,
especially outstanding young talents.
Improve policies
related to corporate human capital cost accounting and
encourage companies and scientific research institutions to
introduce artificial intelligence talents.
Build the discipline of artificial intelligence. Improve the
subject layout in the field of artificial intelligence,
establish artificial intelligence majors, promote the
construction of first-level disciplines in the field of
artificial intelligence, establish artificial intelligence
colleges in pilot colleges as soon as possible, and increase
the enrollment quota for doctoral and master's degrees in
artificial intelligence-related disciplines.
Encourage
colleges and universities to expand the content of
artificial intelligence professional education on the
original basis, form a new model of "artificial intelligence
+ Cross-integration" of professional education.
Strengthen
industry-university-research cooperation, and encourage
universities, research institutes, enterprises and other
institutions to cooperate in the construction of artificial
intelligence disciplines.
(2)
Cultivate a high-end and efficient smart economy
Accelerate the
cultivation of artificial intelligence industries with major
leading and driving effects, promote the in-depth integration of
artificial intelligence and various industrial fields, and form
an intelligent economic form 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, human-machine
collaboration has become the mainstream production and service
method, cross-border integration has become an important
economic model, co-creation and sharing have become a basic
feature of the economic ecology, personalized needs and
customization have become a new trend in consumption, and
productivity has increased significantly.
Improve, lead the
industry to move towards the high end of the value chain,
strongly support the development of the real economy, and
comprehensively improve the quality and efficiency of economic
development.
1. Vigorously
develop emerging industries of artificial intelligence
Accelerate the transformation and application of key
artificial intelligence technologies, promote technology
integration and business model innovation, promote
intelligent product innovation in key areas, actively
cultivate emerging artificial intelligence business forms,
deploy high-end industrial chains, and create an
internationally competitive artificial intelligence industry
cluster.
Intelligent software and hardware
Develop key basic
software such as operating systems, databases, middleware,
and development tools for artificial intelligence, break
through core hardware such as graphics processors, and
research intelligent system solutions such as image
recognition, speech recognition, machine translation,
intelligent interaction, knowledge processing, and control
decision-making. Plan to cultivate and expand basic software
and hardware industries for artificial intelligence
applications.
Smart robot
Overcome the core
components and special sensors of intelligent robots, and
improve intelligent robot hardware interface standards,
software interface protocol standards and safe use
standards. Develop intelligent industrial robots and
intelligent service robots to achieve large-scale
application and enter the international market. Develop and
promote special intelligent robots such as space robots,
ocean robots, and polar robots. Establish a standard system
and safety rules for intelligent robots.
Smart delivery vehicle
Develop
autonomous vehicles and rail transit systems, strengthen the
integration and support of on-board sensing, autonomous
driving, Internet of Vehicles, Internet of Things and other
technologies, develop intelligent transportation sensing
systems, form my country's independent autonomous driving
platform technology system and product assembly
capabilities, and explore autonomous driving Driving in car
sharing mode.
Develop consumer
and commercial drones and unmanned ships, establish
professional service systems such as trial identification,
testing, and competition, and improve airspace and water
management measures.
Virtual reality and augmented reality
Make
breakthroughs in key technologies such as high-performance
software modeling, content shooting and generation,
augmented reality and human-computer interaction, integrated
environments and tools, develop virtual display devices,
optical devices, high-performance true 3D displays,
development engines and other products, and establish
virtual reality and augmented reality Realistic technology,
product, service standards and evaluation systems 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 generation smart phones,
vehicle-mounted smart terminals and other mobile smart
terminal products and equipment, encourage the development
of wearable terminal products such as smart watches, smart
headphones, and smart glasses, and expand product forms and
application services.
Internet of Things basic devices
Develop
high-sensitivity, high-reliability smart sensing devices and
chips that support the new generation of IoT, and conquer
core IoT technologies such as radio frequency identification
and short-range machine communications, as well as key
devices such as low-power processors.
2. Accelerate the intelligent upgrading of industries
Promote the integration and innovation of artificial
intelligence and various industries, carry out pilot
demonstrations of artificial intelligence applications in
key industries and fields such as manufacturing,
agriculture, logistics, finance, commerce, and home
furnishing, promote the large-scale application of
artificial intelligence, and comprehensively improve the
level of intelligent industrial development.
Smart manufacturing
Focusing on the
major needs of a manufacturing power, promote the integrated
application of key technical equipment, core supporting
software, industrial Internet and other systems for
intelligent manufacturing, develop intelligent products and
intelligent interconnected products, intelligent
manufacturing enabling tools and systems, intelligent
manufacturing cloud service platforms, and promote process
intelligent manufacturing , discrete intelligent
manufacturing, networked collaborative manufacturing, remote
diagnosis and operation and maintenance services and other
new manufacturing models, establish an intelligent
manufacturing standard system, and promote the
intelligentization of manufacturing life cycle activities.
Smart agriculture
Develop
agricultural intelligent sensing and control systems,
intelligent agricultural equipment, autonomous agricultural
machinery field operation systems, etc.
Establish and
improve an intelligent agricultural information remote
sensing monitoring network integrating sky and ground.
Establish a
typical agricultural big data intelligent decision-making
analysis system, and carry out integrated application
demonstrations such as smart farms, smart plant factories,
smart pastures, smart fisheries, smart orchards, smart
agricultural product processing workshops, and green smart
agricultural product supply chains.
Smart logistics
Strengthen the
research, development, promotion and application of
intelligent logistics equipment such as intelligent loading
and unloading, sorting and packaging, processing and
distribution, build a deep-sensing intelligent warehousing
system, and improve the level and efficiency of warehousing
operation and management. Improve the intelligent logistics
public information platform and command system, product
quality certification and traceability system, intelligent
distribution and dispatching 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
financial formats. Encourage the financial industry to apply
technologies and equipment such as intelligent customer
service and intelligent monitoring.
Establish an
intelligent early warning and prevention 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 business
services and decision-making systems based on artificial
intelligence.
Build a
cross-media big data platform covering geographical
location, online media and city basic data to support
enterprises in developing smart business. Encourage the
provision of customized business intelligence
decision-making services based on personal needs and
enterprise management.
Smart home
Strengthen the
integration and application of artificial intelligence
technology and home building systems to improve the
intelligence level of construction equipment and home
products.
Develop home
interconnection protocols and interface standards adapted to
different application scenarios to improve the perception
and connectivity capabilities of household products such as
home appliances and durable goods.
Support
smart home companies to
innovate service models and provide Internet sharing
solutions.
3. Vigorously develop intelligent enterprises
Promote the 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
corporate organizational structures and operating methods,
form a business model that integrates manufacturing,
services and finance with intelligence, and develop
personalized customization , expand the supply of smart
products.
Encourage large
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 in smart factories, focus on promoting technologies
such as production line reconstruction and dynamic
intelligent scheduling, production equipment intelligent IoT
and cloud data collection, multi-dimensional
human-machine-thing collaboration and interoperability, and
encourage and guide enterprises to build factories Big data
systems, networked distributed production facilities, etc.
realize the networking of production equipment,
visualization of production data, transparency of the
production process, and unmanned production sites, and
improve the level of intelligent factory operation and
management.
Accelerate the cultivation of leading enterprises in the
artificial intelligence industry. Accelerate the creation of
a global leading enterprise and brand in artificial
intelligence in advantageous fields such as drones, speech
recognition, and image recognition.
Accelerate the
cultivation of a number of leading companies in emerging
fields such as smart robots, smart cars, wearable devices,
and virtual reality. Support artificial intelligence
companies to strengthen their patent layout and take the
lead in or participate in the formulation of international
standards.
Promote domestic
leading enterprises, industry organizations, scientific
research institutions, universities, etc. to jointly
establish the China Artificial Intelligence Industry
Technology Innovation Alliance. Support leading and key
enterprises to build open source hardware factories and open
source software platforms, form an innovation ecosystem that
gathers various resources, and promote the development of
artificial intelligence, small, medium and micro enterprises
and applications in various fields.
Support various
institutions and platforms to provide professional services
to artificial intelligence enterprises.
4. Create a highland for artificial intelligence
innovation
Combining the foundation and advantages of each region, we
will carry out relevant industrial layout according to the
categories of artificial intelligence application fields.
Encourage local
governments to gather high-end elements, high-end
enterprises, and high-end talents around the artificial
intelligence industry chain and innovation chain to create
artificial intelligence industry clusters and innovation
highlands.
Carry out pilot demonstrations of innovative applications of
artificial intelligence. In areas with good artificial
intelligence foundation and great development potential,
organize and carry out national artificial intelligence
innovation experiments, explore major reforms in systems and
mechanisms, policies and regulations, talent cultivation,
etc., and promote the transformation of artificial
intelligence achievements, major product integration
innovation and demonstration applications , forming
experience that can be replicated and promoted, and lead the
development of smart economy and smart society.
Build a national artificial intelligence industrial park.
Relying on
innovation carriers such as the National Independent
Innovation Demonstration Zone and the National High-tech
Industrial Development Zone, we will strengthen the optimal
allocation and combination of technology, talent, finance,
policy and other elements, and accelerate the cultivation
and construction of artificial intelligence industry
innovation clusters.
Build a national artificial intelligence mass innovation
base.
Relying on areas
where universities and scientific research institutes are
concentrated in artificial intelligence research, build new
entrepreneurial service institutions such as professional
innovation platforms in the field of artificial
intelligence, build a number of low-cost, convenient,
all-factor, open artificial intelligence maker spaces, and
improve Incubate service system, promote the transfer and
transformation of artificial intelligence scientific and
technological achievements, and support artificial
intelligence innovation and entrepreneurship.
(3) Build a
safe and convenient smart society
Focusing on the goal of improving people's living standards and
quality, we will accelerate the in-depth application of
artificial intelligence to form an ever-present and ubiquitous
intelligent environment, and the level of intelligence in the
entire society will be greatly improved.
More and more simple,
repetitive, and dangerous tasks are completed by artificial
intelligence, and individual creativity is greatly unleashed,
creating more high-quality and high-comfort jobs; precise
intelligent services are more abundant and diverse, and people
can Enjoy high-quality services and convenient life to the
maximum extent; the level of intelligent social governance has
been greatly improved, and social operations have become safer
and more efficient.
1. Develop
convenient and efficient smart services
Focusing on urgent people's livelihood needs such as
education, medical care, and elderly care, we will
accelerate the innovative application of artificial
intelligence and 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 smart campuses and
promote the application of artificial intelligence in the
entire process of 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 educational assistants and
establish an intelligent, fast and comprehensive educational
analysis system. Establish a learner-centered educational
environment, provide accurately delivered educational
services, and realize customization of daily education and
lifelong education.
Smart healthcare
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 human-machine
collaborative surgical robots and intelligent diagnosis and
treatment assistants, develop flexible wearable,
biocompatible physiological monitoring systems, develop
human-machine collaborative clinical intelligent diagnosis
and treatment solutions, and achieve intelligent image
recognition, pathological classification and intelligent
multi-discipline consultation.
Carry out
large-scale genome identification, proteomics, metabolomics
and other research and new drug research and development
based on artificial intelligence to promote intelligent
medical supervision. Strengthen intelligent epidemic
monitoring and prevention and control.
Smart health and elderly care
Strengthen group
intelligent health management, break through key
technologies such as health big data analysis and the
Internet of Things, develop health management wearable
devices and home intelligent health detection and monitoring
equipment, and promote health management from point
monitoring to continuous monitoring, and from short-process
management to long-term management.
Process management transformation
Build intelligent
elderly care communities and institutions, and build a safe
and convenient intelligent elderly care infrastructure
system. Strengthen the intelligence of products for the
elderly and the adaptability of smart products to aging,
develop audio-visual auxiliary equipment, physical auxiliary
equipment and other smart home elderly care equipment, and
expand the activity space for the elderly.
Develop mobile
social and service platforms and emotional care assistants
for the elderly to improve the quality of life of the
elderly.
2. Promote intelligent social governance
Focusing on hot and difficult issues in social governance
such as administrative management, judicial management,
urban management, and environmental protection, promote the
application of artificial intelligence technology and
promote the modernization of social governance.
Smart government affairs
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 decision-making such as complex social
problem analysis, policy evaluation, risk warning, and
emergency response.
Strengthen the
integration of government information resources and accurate
prediction of public needs, and smooth the interaction
channels between the government and the public.
Smart court
Build a smart
court data platform that integrates trials, personnel, data
applications, judicial disclosure and dynamic monitoring,
promote the application of artificial intelligence in
evidence collection, case analysis, legal document reading
and analysis, and realize the intelligentization of the
court trial system and trial capabilities .
Smart City
Construct urban
intelligent infrastructure, develop intelligent buildings,
and promote the intelligent transformation and upgrading of
municipal infrastructure such as underground pipe corridors;
build an urban big data platform and build an urban
operation management system that integrates multiple
heterogeneous data to realize the management of urban
infrastructure and urban green spaces, comprehensive
perception of important ecological elements such as wetlands
and wetlands, and an in-depth understanding of the operation
of complex urban systems; develop and build community public
service information systems to promote the coordination of
community service systems and residents' smart home systems;
promote urban planning, construction, management, and
operation throughout life Cycle intelligence.
Smart transportation
Research and
establish a technical system for autonomous driving and
vehicle-road collaboration of operating vehicles.
Develop a
comprehensive big data application platform for
multi-dimensional traffic information in complex scenarios
to achieve intelligent traffic guidance and comprehensive
operation coordination and command, and build an intelligent
traffic monitoring, management and service system covering
the ground, rail, low altitude and sea.
Smart and environmentally friendly
Establish an
intelligent monitoring big data platform system covering the
atmosphere, water, soil and other environmental fields, and
build an intelligent environmental monitoring network and
service platform that coordinates land and sea, integrates
heaven and earth, coordinates top and bottom, and shares
information.
Develop
intelligent prediction model methods and early warning
programs for resource energy consumption and environmental
pollutant emissions. Strengthen the construction of
environmental protection and intelligent prevention and
control systems for environmental emergencies in major
national strategic regions such as the Beijing-Tianjin-Hebei
region and the Yangtze River Economic Belt.
3. Use artificial intelligence to improve public safety
capabilities
Promote the in-depth application of artificial intelligence
in the field of public security and promote the construction
of an intelligent monitoring, early warning and control
system for public security.
Focusing on the
urgent needs of comprehensive social management, new crime
investigation, and anti-terrorism, we will develop
intelligent security and police products that integrate a
variety of detection and sensing technologies, video image
information analysis and recognition technologies, and
biometric identification technologies, and establish an
intelligent monitoring platform.
Strengthen the
intelligent transformation and upgrading of security
equipment in key public areas, and support qualified
communities or cities to carry out demonstrations of public
security areas based on artificial intelligence.
Strengthen the
protection of food safety by artificial intelligence, and
establish an intelligent food safety early warning system
focusing on food classification, early warning levels, food
safety hazards and assessments, etc.
Strengthen the
effective monitoring of natural disasters by artificial
intelligence, and build an intelligent monitoring, early
warning and comprehensive response platform around major
natural disasters such as earthquake disasters, geological
disasters, meteorological disasters, floods and droughts,
and marine disasters.
4. Promote
social exchanges,
sharing and mutual trust
Give full play to the role of artificial intelligence
technology in enhancing social interaction and promoting
trusted communication. Strengthen the research and
development of next-generation social networks, accelerate
the promotion and application of augmented reality, virtual
reality and other technologies, promote the collaborative
integration of virtual and physical environments, meet
personal perception, analysis, judgment and decision-making
and other real-time information needs, and realize the
integration of work, study, life and entertainment.
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 to achieve a
virtuous cycle of emotional communication and demand
satisfaction.
Promote the
integration of blockchain technology and artificial
intelligence, establish a new social credit system, and
minimize the cost and risk of interpersonal interactions.
(4) Strengthen
military-civilian integration in the field of artificial
intelligence
Deeply implement the military-civilian integration development
strategy and promote the formation of an all-factor,
multi-field, and high-efficiency artificial intelligence
military-civilian integration pattern.
Deploy the research
and development of basic theories and key common technologies of
a new generation of artificial intelligence with the guidance of
military and civilian sharing, and establish a normalized
communication and coordination mechanism between scientific
research institutes, universities, enterprises and military
industrial units.
Promote the two-way
military-civilian transformation of artificial intelligence
technology, strengthen the strong support of new generation
artificial intelligence technology for command decision-making,
military exercises, national defense equipment, etc., and guide
the transformation and application of artificial intelligence
scientific and technological achievements in the national
defense field to the civilian field.
Encourage superior
civilian scientific research forces 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 general 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 smart economy, smart society, and national defense
construction.
Accelerate the
transformation of digital and networked information
infrastructure with information transmission as the core to an
intelligent information infrastructure that integrates sensing,
transmission, storage, computing, and processing.
Optimize and upgrade
network infrastructure, develop and deploy the
fifth-generation mobile communications
(5G) system, improve the Internet of Things
infrastructure, accelerate the construction of space-ground
integrated information networks, and improve low-latency and
high-throughput transmission capabilities.
Coordinate the use of
big data infrastructure, strengthen data security and privacy
protection, and provide massive data support for artificial
intelligence research and development and widespread
application. Build high-efficiency computing infrastructure and
enhance the service support capabilities of supercomputing
centers for artificial intelligence applications.
Build a distributed
and efficient energy Internet to form a new energy network that
supports the coordination and complementarity of multiple energy
sources and timely and effective access, promote intelligent
energy storage facilities and intelligent power consumption
facilities, and achieve real-time matching and intelligent
response of energy supply and demand information.
Column 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 research on core technologies
of the intelligent sensing Internet of Things and the
construction of key facilities, and develop an industrial
Internet that supports intelligence and is oriented to
wireless technologies. The Internet of Vehicles driven by
people, etc., and research on intelligent network security
architecture. Accelerate the construction of an integrated
space-ground 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 infrastructure
such as the national data sharing and exchange platform and
data open platform, build a big data basic information
database in the fields of government governance, public
services, industrial development, technology research and
development, etc., to support the development of big data
applications in national governance. Integrate various
social data platforms and data center resources to form an
integrated service capability with nationwide coverage,
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 to build a sustainable
high-performance computing application ecological
environment. Promote the development and application of
next-generation supercomputers.
(6)
Prospectively lay out major technological projects for the new
generation of artificial intelligence
In response to the urgent needs and weak links in the
development of artificial intelligence in our country, establish
a new generation of major artificial intelligence science and
technology projects.
Strengthen overall
coordination, clarify task boundaries and research and
development priorities, and form a "1+N" artificial intelligence
project group with the new generation of artificial intelligence
major scientific and technological projects as the core and the
existing research and development layout as the support.
"1" refers to a new generation of major artificial intelligence
science and technology projects, focusing on the forward-looking
layout of basic theories and key common technologies, including
research on big data intelligence, cross-media sensory
computing, hybrid enhanced intelligence, swarm intelligence,
autonomous collaborative control and decision-making and other
theories.
Research knowledge
computing engines and knowledge service technologies,
cross-media analysis and reasoning technologies, key swarm
intelligence technologies, new architectures and new
technologies of hybrid enhanced intelligence, autonomous
unmanned control technologies, etc., and open source and share
the basic theories and common technologies of artificial
intelligence.
Continue to carry out
prediction and research on the development of artificial
intelligence, and strengthen research on the comprehensive
impact of artificial intelligence on the economy and society and
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 major
new-generation artificial intelligence technology projects and
collaboratively promote theoretical research, technological
breakthroughs and product development and application 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 "core electronic devices, high-end general chips, basic
software" (core electronic devices, high-end general chips,
basic software), integrated circuit equipment, etc.
Strengthen mutual
support with other "Science and Technology Innovation 2030 -
Major Projects", accelerate research on brain science and
brain-inspired computing, quantum information and quantum
computing, intelligent manufacturing and robots, big data, etc.,
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 increases support for the research and development
and application of artificial intelligence-related technologies;
the National Natural Science Foundation of China strengthens
support for interdisciplinary research and free exploration in
the frontier fields of artificial intelligence.
Strengthen the
application demonstration of artificial intelligence technology
in major projects such as deep-sea space stations and health
security, as well as key special deployments of national key R&D
plans such as smart cities and smart agricultural equipment.
Research results on
basic theories and common technologies related to artificial
intelligence supported by other types of science and technology
plans should be open and shared.
Innovate the organization and implementation model of major
new-generation artificial intelligence science and technology
projects, adhere to the principle of concentrating efforts on
major projects and making key breakthroughs, give full play to
the role of market mechanisms, and mobilize the forces of
departments, localities, enterprises, and society to jointly
promote implementation.
Clarify management
responsibilities, conduct regular evaluations, strengthen
dynamic adjustments, and improve management efficiency.
4. Resource
allocation
Make full use of existing funds, bases and other existing resources,
coordinate the allocation of international and domestic innovation
resources, give full play to the guiding role of financial
investment, policy incentives and the leading role of the market in
allocating resources, leverage enterprises and society to increase
investment, and form fiscal funds, financial a new pattern of
multi-party support from capital and social capital.
(1) Establish a
financial guidance and market-led financial support mechanism
Coordinate capital investment from the government and the market
through multiple channels, increase financial support,
revitalize existing resources, and provide support for basic
cutting-edge research on artificial intelligence, key common
technology research, achievement transfer and transformation,
base platform construction, and innovative application
demonstrations.
Utilize existing
government investment funds to support qualified artificial
intelligence projects, and encourage leading enterprises and
industrial innovation alliances to take the lead in establishing
market-oriented artificial intelligence development funds.
Use various channels
such as angel investment, venture capital, venture capital
funds, and capital market financing to guide social capital to
support the development of artificial intelligence.
Actively use models
such as government-social capital cooperation 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 an artificial intelligence
innovation base
In accordance with the layout and framework of national-level
scientific and technological innovation bases, we will
coordinate and promote the construction of several
internationally leading innovation bases in the field of
artificial intelligence.
Guide existing
artificial intelligence-related national key laboratories,
corporate national key laboratories, national engineering
laboratories and other bases to focus on the cutting-edge
directions of the new generation of artificial intelligence to
carry out research.
According to the
prescribed procedures, relevant technologies and industrial
innovation bases in the field of artificial intelligence will be
established with enterprises as the main body and cooperation
between industry, academia and research institutes, and play the
leading role of leading and backbone enterprises in
technological innovation demonstration.
Develop professional
maker spaces in the field of artificial intelligence and promote
the precise connection of the latest technological achievements
with resources and services.
Give full play to the
role of various innovation bases in gathering innovative
resources such as talents and funds, break through the basic
cutting-edge theories and key common technologies of artificial
intelligence, 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.
Domestic artificial
intelligence companies are encouraged to "go global" and provide
convenience and services for powerful artificial intelligence
companies to carry out overseas mergers and acquisitions, equity
investment, venture capital and the establishment of overseas
R&D centers.
Encourage foreign
artificial intelligence companies and scientific research
institutions to set up R&D centers in China.
Relying on the "Belt
and Road" strategy, promote the construction of
international scientific and technological cooperation bases and
joint research centers for artificial intelligence, and
accelerate the promotion and application of artificial
intelligence technology in countries along the "Belt and Road".
Promote the
establishment of an international organization for artificial
intelligence and jointly formulate relevant international
standards. Support relevant industry associations, alliances and
service organizations to build a global service platform for
artificial intelligence enterprises.
5. Safeguard
measures
Focusing on the practical requirements of promoting the healthy and
rapid development of artificial intelligence in my country, we
should properly respond to the challenges that artificial
intelligence may bring, form institutional arrangements that adapt
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 ethical norms to promote the development
of artificial intelligence
Strengthen research on legal, ethical and social issues related
to artificial intelligence, and establish a legal, regulatory
and ethical framework to ensure the healthy development of
artificial intelligence.
Carry out research on
legal issues such as civil and criminal liability confirmation,
privacy and property rights protection, and information security
utilization related to artificial intelligence applications,
establish a traceability and accountability system, and clarify
the legal subjects of artificial intelligence and related
rights, obligations, and responsibilities.
Focusing on
subdivided areas with good application foundations such as
autonomous driving and service robots, we will accelerate the
research and formulation of relevant safety management
regulations to lay a legal foundation for the rapid application
of new technologies.
Carry out research on
issues such as artificial intelligence behavioral science and
ethics, and establish a multi-level judgment structure for
ethics and morality and an ethical framework for human-machine
collaboration.
Formulate ethics and
codes of conduct for artificial intelligence product developers
and designers, strengthen the assessment of potential harms and
benefits of artificial intelligence, and build solutions to
emergencies in complex artificial intelligence scenarios.
Actively participate
in the global governance of artificial intelligence, strengthen
research on major international common issues in artificial
intelligence such as robot alienation and safety supervision,
deepen international cooperation in artificial intelligence laws
and regulations, international rules, etc., and jointly respond
to global challenges.
(2) Improve
key policies to support the development of artificial
intelligence
Implement preferential fiscal and tax 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 for
high-tech enterprises and super deductions for research and
development expenses.
Improve and implement
policies related to data openness and protection, carry out
pilot reform pilots for the open utilization of public data,
support the public and enterprises to fully tap the commercial
value of public data, and promote innovation in artificial
intelligence applications.
Research and improve
policy systems such as education, medical care, insurance, and
social assistance that are adapted to artificial intelligence to
effectively respond to social problems caused by artificial
intelligence.
(3)
Establish artificial intelligence technology standards and
intellectual property systems
Strengthen research on the artificial intelligence standard
framework system.
Adhere to the
principles of security, usability, interoperability, and
traceability, and gradually establish and improve technical
standards for basic commonality of artificial intelligence,
interconnection, industry applications, network security, and
privacy protection.
Accelerate the
development of relevant standards by industry associations and
alliances in niche application fields such as autonomous driving
and service robots.
Encourage artificial
intelligence companies to participate in or lead the formulation
of international standards, and use technical standards to "go
global" to promote the promotion and application of artificial
intelligence products and services overseas.
Strengthen the
protection of intellectual property rights 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 intellectual property rights of artificial
intelligence innovation results.
Establish an
artificial intelligence public patent pool to promote the
utilization and diffusion of new artificial intelligence
technologies.
(4)
Establish an artificial intelligence safety supervision and
evaluation system
Strengthen the research and assessment of the impact of
artificial intelligence on national security and
confidentiality, improve the security protection system with
human, technology, material and management support, and build an
artificial intelligence security monitoring and early warning
mechanism.
Strengthen
prediction, judgment and tracking research on the development of
artificial intelligence technology, adhere to a problem-oriented
approach, and accurately grasp technology and industry
development trends.
Enhance risk
awareness, pay attention to risk assessment and prevention and
control, strengthen forward-looking prevention and restraint
guidance, focus on the impact on employment in the short term,
and consider the impact on social ethics in the long term 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 with equal
emphasis on design accountability and application supervision,
and realize 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 abuse, infringement of personal privacy,
violation of moral ethics and other behaviors.
Strengthen the
research and development of artificial intelligence network
security technology, and strengthen the network security
protection of artificial intelligence products and systems.
Construct a dynamic
artificial intelligence R&D application evaluation and
evaluation mechanism, and develop systematic testing methods and
indicator systems around the complexity, risk, uncertainty,
interpretability, potential economic impact and other issues of
artificial intelligence design, products and systems.
Build a cross-domain
artificial intelligence testing platform, promote artificial
intelligence safety certification, and evaluate the key
performance of artificial intelligence products and systems.
(5)
Vigorously strengthen artificial intelligence workforce training
Accelerate research on the changes in employment structure and
employment methods brought about by artificial intelligence, as
well as the skill needs of new occupations and jobs, establish a
lifelong learning and employment training system that adapts to
the needs of the smart economy and smart society, and support
colleges and universities, vocational schools and socialized
training Institutions and other institutions carry out
artificial intelligence skills training to significantly improve
the professional skills of employed personnel and meet the needs
of high-skilled and high-quality jobs brought about by the
development of artificial intelligence in our country.
Encourage enterprises
and various institutions to provide artificial intelligence
skills training for employees. Strengthen employee reemployment
training and guidance to ensure the smooth transfer of laborers
engaged in simple and repetitive work and those who have lost
their jobs due to artificial intelligence.
(6)
Extensively carry out artificial intelligence science
popularization activities.
Support the development of various forms of artificial
intelligence science popularization activities, encourage
scientific and technological workers to devote themselves to the
science popularization and promotion of artificial intelligence,
and comprehensively improve the overall understanding and
application level of artificial intelligence in the whole
society.
Implement a national
intelligent education project, set up artificial
intelligence-related courses in primary and secondary schools,
gradually promote programming education, and encourage social
forces to participate in the development and promotion of
entertaining programming teaching software and games.
Build and improve
artificial intelligence science popularization infrastructure,
give full play to the science popularization role of various
artificial intelligence innovation base platforms, encourage
artificial intelligence companies and scientific 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 various forms of artificial intelligence
popularization creation. Encourage scientists to participate in
artificial intelligence science popularization.
6.
Organization and implementation
The new generation of artificial intelligence development plan is a
forward-looking plan related to the overall situation and long-term.
It is necessary to
strengthen organizational leadership, improve mechanisms, aim at
goals, keep a close eye on tasks, and implement them with the spirit
of nailing nails, and follow a blueprint to the end.
(1) Organizational
leadership
In accordance with 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 will take the lead in overall coordination, review
major tasks, major policies, major issues and key work
arrangements, promote the construction of artificial
intelligence-related laws and regulations, guide, coordinate and
supervise.
Relevant departments
shall do a good job in the deployment and implementation of
planned tasks.
Relying on the
inter-ministerial joint meeting for the management of national
science and technology plans (special projects, funds, etc.),
the Ministry of Science and Technology, together with relevant
departments, is responsible for promoting the implementation of
major new generation artificial intelligence science and
technology projects and strengthening the connection and
coordination with other plan tasks.
An Artificial
Intelligence Planning and Promotion Office has been established.
The office is located in the Ministry of Science and Technology
and is specifically responsible for promoting the implementation
of the plan.
Establish an
Artificial Intelligence Strategic Advisory Committee to study
forward-looking and strategic major issues in Artificial
Intelligence and provide consultation and evaluation on major
Artificial Intelligence decisions.
Promote the
construction of artificial intelligence think tanks, support
various think tanks to carry out research on major artificial
intelligence issues, and provide strong intellectual support for
the development of artificial intelligence.
(2)
Guarantee implementation
Strengthen the decomposition of planning tasks, clarify
responsible units and schedule arrangements, and formulate
annual and phased implementation plans.
Establish a
monitoring and evaluation mechanism for the implementation of
plans such as annual evaluation and mid-term evaluation. Adapt
to the rapid development of artificial intelligence and
strengthen dynamic adjustments to plans and projects based on
task progress, completion of phase goals, and new trends in
technological development.
(3) Pilot
demonstration
For major tasks and key policies and measures for artificial
intelligence, it is necessary to formulate specific plans and
carry out pilot demonstrations.
Strengthen the
overall coordination and 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
pilots and demonstrations.
(4) Public
opinion guidance
Make full use of various traditional media and emerging media to
promptly publicize new progress and new results of artificial
intelligence, make the healthy development of artificial
intelligence a consensus of the whole society, and mobilize the
enthusiasm of the whole society to participate in and support
the development of artificial intelligence.
Provide timely
guidance of public opinion to better respond to social, ethical
and legal challenges that may arise from the development of
artificial intelligence.
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