China Net/China Development Portal News Since the 18th National Congress of the Communist Party of China, the party and the country have attached great importance to the integrated development of the digital economy and the real economy. The integrated application of digital technologies such as the Internet, big data, and artificial intelligence in the real economy has become increasingly important. The deeper, the wider. General Secretary Xi Jinping emphasized that it is necessary to promote the integrated development of the digital economy and the real economy, grasp the direction of digitalization, networking, and intelligence, promote the digitalization of manufacturing, service industries, agriculture and other industries, and use new Internet technologies to carry out all-round and full-chain development of traditional industries. transformation, improve total factor productivity, and give full play to the amplification, superposition, and multiplication effect of digital technology on economic development. According to the “China Digital Economy Development Research Report (2023)”, in 2022, the penetration rate of digital economy in my country’s primary, secondary and tertiary industries will reach 10.5%, 24.0% and 44.7% respectively. Accelerating the deep integration of the digital economy and the real economy has become a new engine for the transformation and upgrading of my country’s traditional industries and an inevitable choice for high-quality economic development.
Looking around the world, the integration of the digital economy and the real economy (hereinafter referred to as “digital-real integration”) is also a strategic choice for the world’s major countries to create new competitive advantages. In 2006, the U.S. National Science Foundation proposed “Cyber-PhysicZelanian Escortal Systems), which aims to integrate sensing, computing, control and networking into physical objects and infrastructure and connect them to the Internet and each other; thereafter , the United States formulated the “National Advanced Manufacturing Strategy” in 2012, 2018 and 2022, emphasizing the application of digital technology in manufacturing to improve the competitiveness of the US manufacturing industry and drive the reshoring and upgrading of the US manufacturing industry. In the field of advanced manufacturing Reshape national competitiveness. Since Germany proposed the concept of “Industry 4.0” in 2013, it has successively launched strategies such as “Recommendations for Implementing the “Industry 4.0″ Strategy”, “Digital Strategy 2025”, and “German Industrial Strategy 2030”, and has achieved comprehensive awareness and understanding of the production process through digital technology. Control and promote the integration of the physical world and the virtual network world; in 2022, Germany further proposed the “Manufacturing-X” plan, which aims to stimulate the value of data elements by building a data space and promote the overall systematic digital transformation of the supply chain to ensure that Germany Global leader in industry. Facing prominent social problems such as aging and declining birthrate, Japan has proposed the “Society 5.0” strategy. Among them, the “Internet Industry” strategy collects massive data to connect people, equipment, systems, technologies, etc., and analyzes information across multiple types of information. Artificial Intelligence (AI) analysis of big data, including customer and consumer needs, supplier inventory information and delivery information, etc., thereby not only solving manufacturing problems, but also striving to solve the severe problems faced by Japan.severe social challenges.
Generally speaking, relying on technologies such as sensors, the Internet of Things, big data, and artificial intelligence to realize mutual perception, control, and optimization between the physical world and the digital world has become an important issue for the country to enhance industrial competitiveness and solve the problem. important approach to social development problems. This article aims to further grasp the essential laws of digital-real integration, clarify the enabling path of digital-real integration, and analyze the development trend of digital-real integration, so as to further promote the integration of digital and real and shape my country’s economic development. Of course he can like her, but the premise is that she It must be worthy of his liking. What value does she have if she can’t honor her mother like he does? Isn’t it? Exhibit new advantages and propose countermeasures and suggestions.
Digital economy and its enabling nature
From a historical perspective, human society has experienced an agricultural society, an industrial society, and is entering a knowledge society. . In this process, each society has its iconic technology, iconic economic form, as well as iconic features, tools, objects, etc., thus forming different social forms. The digital economy is a typical economic form of the knowledge society, such as the agricultural economy to the agricultural society and the industrial economy to the industrial society. For the knowledge society, a new economic form characterized by knowledge is being given birth to.
Digital economy is a typical economic form of knowledge society
Today’s society is making great strides from the industrial economy era to the knowledge economy era. In 1996, the “Knowledge-based Economy” report released by the Organization for Economic Co-operation and Development (OECD) proposed that “the knowledge economy ” is an economy based on the production, distribution and use of knowledge and information. UNESCO’s “Towards a Knowledge Society” report believes that the core of a knowledge society is the identification, production, processing, transformation, dissemination and use of knowledge necessary for the creation and application of human developmentNZ Escorts information capabilities. Knowledge resources are surpassing natural resources such as land, water, plants, minerals, and energy, and increasingly becoming a key element and the most important resource for the development of social productivity.
The rise of the digital economy has brought new possibilities to the production, dissemination and use of knowledge. There is a new model for the generation of knowledge. Based on artificial intelligence’s learning of large-scale data and industry knowledge, multi-domain knowledge can be deeply integrated, hidden patterns and associations can be identified and mined, and human cognitive boundaries have been expanded. The expression of knowledge takes on a new dimension. The professional technology and knowledge of the traditional real economy have been digitized, modularized and standardized by Newzealand Sugar, which has promoted the explicitness of tacit knowledge and greatly improved the the reusability of knowledge. KnowledgeThe communication breaks through the traditional boundaries. The exclusivity of knowledge in the traditional industrial economy era was broken, and an open knowledge society gradually formed.
The empowering nature of digital-real integration
The real economy is the foundation of a country and the foundation of its strength. The report of the 20th National Congress of the Communist Party of China emphasized that we must “persist in focusing our economic development on the real economy.” In essence, the integration of data and reality is the increase of production factors and the reduction of uncertainty. The three-dimensional integration of humans, machines and objects is the link between the integration of data and reality (Figure 1).
The fusion of digital and real is the increase of production factors. In agricultural and industrial societies, economic development mainly relies on production factors such as land, labor, capital, and technology. With the continuous integration of digital technology and economic activities, the data acquisition, transmission, storage, processing, and processing capabilities in production activities have been greatly improved. Massive industrial data, user data, and upstream and downstream data in the industrial chain continue to emerge, which opens up a new path for enterprises. Each link and multi-dimensional data provide strong support for strategic competitive decisions and bring added value. The importance of data in production and competition has become increasingly prominent, gradually becoming independent from auxiliary resources and becoming the core production factor for the digital economy to empower the real economy. According to the “Digital China Development Report (2022)”, my country’s data output will reach 8.1 ZB in 2022, a year-on-year increase of 22.7%, accounting for 10.5% of the world, ranking second in the world. Of course, the advantage of data stock alone is not enough to meet the urgent demand for data elements in economic and social development. What is more important is to use a complete supporting system to promote the orderly flow and use of data in the market like other commodities, and to achieve data integration in various fields. , Connection, “Look, have you noticed that there are only a few elevators in the dowry, and there are only two maids, and there is not even a woman to help. I think this girl from the Lan family will definitely pass it and truly release the data in the entity. Value creation in the economy.
The fusion of numbers and reality is the reduction of uncertainty. But looking back now, she wonders if she was already terminally ill at that time. Vomiting blood, losing the will to live, and dying seem to be the result. Norbert Wiener, the scientist and founder of cybernetics, proposed that information, matter and energy are the three major elements of the real world. From an economic point of view, due to transactions. The different information possessed by each party will affect the efficiency of the market mechanism in allocating resources, causing the party with the information advantage to obtain more surplus in the transaction, resulting in a serious imbalance in the interest distribution structure, which is a market failure caused by information asymmetry. Under the development of digital economy, based on data aggregation, cleaning and processing, through the Internet of Things technologyThe application of technology, big data analysisNZ Escorts and AI will generate multi-dimensional information that helps to gain insight into the market, capture trends and discover patterns. , thereby reducing information asymmetry in the traditional real economy and improving the optimal control of material and energy flows in production and the efficiency of resource use. For example, with the development of digital platforms, information from the supply side and the demand side converges on the platform; under the influence of algorithms, the information from both supply and demand sides is highly accurateZelanian sugar Effective matching to achieve optimal resource allocation.
The three-dimensional integration of humans, machines, and objects is the link between digital and real integration. In today’s world, a new round of scientific and technological revolution and industrial transformation are accelerating. New generation information technologies such as big data, Internet, artificial intelligence, 5G communications, cloud computing, and the Internet of Things are the most active key technology groups in this round of scientific and technological revolution. Application empowerment It is in the ascendant, blurring the boundaries between human society (people), digital space (machine), and the physical world (things). A new form of digital-real integration based on the three-dimensional integration of humans, machines, and things is taking shape. The widespread application of products and technologies such as smartphones, wearable devices, and virtual reality (VR) has enabled people’s Zelanian sugar activities to take place in the virtual space can be mapped; technologies such as the Industrial Internet and smart manufacturing enable machines to perform tasks more intelligently, thereby optimizing the production process and improving production efficiency; Internet of Things technology enables the physical world to have the ability to perceive and interact, thus forming an interconnected ecosystem. The connectivity between people and people, people and things, and things and things expands from physical space to digital space, and remote, full-time, and global connections become a reality; the interactive integration of machine capabilities and human capabilities achieves a leap in productivity . The three-dimensional integration of humans, machines, and things not only improves productivity, it is and will continue to generate new business models and service methods, promoting the transformation and upgrading of the real economy.
Integration of data and reality empowers industrial systemsNZ EscortsThe path to revolutionary change
General Secretary Xi JinpingZelanian sugar emphasized that the digital economy is highly innovativeZelanian EscortNewness, strong penetration and wide coverage. The empowerment of the real economy by the digital economy shows the characteristics of the whole process and the whole chain, and it penetrates into the researchdevelopment and innovation, production and manufacturing, collaborative integration, supply and service, etc., thereby nurturing systemic changes in the real economy.
The digital economy empowers the real economy to accelerate R&D and innovation
Innovation is the source of power for industries to continue to maintain competitiveness. Driven by digital technology, the real economy’s innovative thinking, innovation models, and innovation cycles are undergoing comprehensive and profound changes.
The digital economy leads open innovation thinking. The development of the digital economy has transformed innovative entities from an exclusive relationship of perfect competition to a symbiotic and win-win relationship, and from closed innovation to open innovation; at the same time, the network effect of the Internet platform has also caused a single enterprise, a single industry, a single region, a single The country’s innovation model has been broken, and the vitality of open innovation with the participation of the whole society has been stimulated. For example, software open source is a typical practice of open innovation. Through the open source community, developers from all over the world jointly promote the iteration and enrichment of software functions.
Data sharing promotes collaborative innovation model. Relying on big data, blockchain and other digital technologies, the open innovation ecosystem breaks the information barriers of regions, departments, organizations and links, accelerates the dissemination of information upstream and downstream of the industry chain, and achieves upstream and downstream collaboration in the industry chain with a componentized and modular flexible architecture. Innovation, new business formats and new models in the service industry.
Digital closed loop shortens the iterative innovation cycle. In the digital age, the traditional one-way innovation path has evolved into closed-loop iterative innovation. After the product prototype enters the market, digital technology can timely collect data on user usage habits, product performance and other data, and feedback it upward to the innovation chain, guiding the R&D link to fully understand market demand, thus forming a B2C2B data closed loop, promoting the close connection between the innovation chain and the industrial chain, and promoting The direction of industrial innovation is a spiral iterative upgrade.
The digital economy empowers the real economy to optimize production and manufacturing
As a core link in the development of the real economy, production is one of the important ways for the digital economy to empower traditional industries. With the deepening of the integration of digital and real Zelanian sugar, three major changes will be brought about.
Change from product-centered to user-centered. Driven by big data, various industries in the real economy capture user needs more clearly and accurately, guiding the transformation of traditional product-centered production values into user-centered values; customized production and user-first concepts not only enhance user The experience further enhances the competitiveness of enterprises.
Transform from experience-driven to knowledge-driven. Using digital means, the domain knowledge, tacit knowledge or experience of the production process is solidified into streamlined, standardized and intelligent software components, thereby achieving precisely controlled process production and improving production efficiency and production levels.
Transform from scale to flexibility. Based on the explicitness and modularization of knowledge, digital technology provides the possibility to automatically complete the combination of various elements according to established rules, realize the automation of the production process, and support multiple products.A small-batch flexible manufacturing model. For example, the Shenyang factory of Haier Home Appliances has realized high-quality and efficient interconnection of man-machine and machine-machine based on the industrial Internet, and created a flexible production line that supports more than 500 models of products, thus leading to a substantial increase in customer customization and production efficiency. promote.
The digital economy empowers the real economy to promote synergy and integration
Industrial synergy is the fundamental guarantee for the efficient and orderly operation of the real economy. The digital economy helps the real economy achieve synergy and integration within and between industries, improve industrial competitiveness, and promote industrial transformation and upgrading.
From the perspective of vertical intra-industry collaboration, the data integration of terminal sensing based on the Internet of Things and the industrial Internet platform enables the information barriers related to materials, production, procurement, and logistics distribution in the upstream and downstream of the real economy industry chain to be broken through; At the same time, the dynamic matching of supply and demand information reduces supply costs, improves the stability of the industrial chain, and lays a solid foundation for information collaboration for new business formats and models such as industrial equipment sharing, personnel sharing, production capacity sharing, and virtual industrial parks.
From the perspective of horizontal inter-industry collaboration, digital technology helps industries expand industry connotation and development space through cross-field information docking, demand docking, and service docking. Manufacturing servitization is one of the representative directions of cross-industry collaborative development. Under the influence of digital technology, the manufacturing value chain has transformed from manufacturing-centered to service-centered. Through digital technologies such as the Internet of Things and 5G communications, on the basis of product sales, it can further provide extended services such as operating status monitoring and preventive maintenance to increase product added value and assist industrial transformation and upgrading.
The digital economy empowers the real economy to improve supply capabilities
Traditional supply model Zelanian Escort Under this situation, information communication between producers and consumers is not smooth, and market demand is difficult to meet in a timely manner. Digital technologies such as the Internet of Things, social networks, and digital platforms provide industries with multiple channels to reach consumers, making user demand and user experience a new driving force for industrial supply to improve the level of industrial service supply.
The digital economy expands the breadth of the real economy market. With the help of digital technology, the traditional single offline supply model has been fully transformed into an online and offline integrated development model. Tools such as the Internet, mobile Internet, big data, and artificial intelligence break the space and time constraints of traditional marketing, allowing companies to reach target customers more broadly. Especially in the real economy’s expansion of overseas markets, the digital economy plays an important role. According to statistics, my country’s cross-border e-commerce import and export scale will reach 2.1 trillion yuan in 2022, an increase of 30.2% compared with 2020.
The digital economy improves the accuracy of services in the real economy. On the basis of onlineization, the physical industry relies on digital means toCollect consumption data, use data analysis to learn user behavior patterns and demand characteristics, and form user digital portraits to make product services Zelanian Escort more accurate and more efficient Timely and more diverse.
The development stages and trends of digital-real fusion
The initial stage of digital-real fusion: technology-driven
Early digital-real fusion results Benefit from the rise of the Internet and the popularity of computers. In the 1990s, as Internet technology became increasingly mature, network access rapidly became popular around the world, and digital technology rapidly spilled over from the information industry, thus bringing about a comprehensive impact on the economy and society. In 1995, the book “Digital Survival” predicted the impact of digital technology on future production, life, and education. During this period, the typical practice of applying digital technology to the real economy was the widespread application of enterprise information systems, such as the use of enterprise resource planning (ERP), customer relationship management (CRM) and other systems. Although academic circles and industry circles mostly refer to this stage of digital technology application process as “informatization”, its essence is still the integration of data and reality.
The fusion of data and reality at this stage has three characteristics: digitization. Various physical entities and natural information are converted into data expressed in 0s and 1s and stored in computers, so that computers and software can identify, control, store, calculate and other data, realizing the transformation from paper documents to digital documents; this Although the efficiency of information access has been improved, business process optimization and value creation have not yet been achieved. A la carte. Digital technology is only used in specific aspects of business, such as using ERPNZ Escorts system for enterprise production management, using CRM system for enterprise customer management, Use office automation (OA) systems for corporate office management. discretization. Digital technology applications are still relatively fragmented, and there is a lack of coordination and connectivity between applications in each link. For example, enterprises use different information systems in different business units, resulting in data that cannot be shared and coupled.
The development stage of digital-real integration: data-driven
In the 21st century, with the rapid development of the Internet and mobile Internet, the platform economy is rapidly emerging, and massive amounts of data are continuously being collected and storedNZ Escorts Store, process and use to create new value. In 2012, the New York Times published an article “The Era of Big Data”, pointing out that “big data” is having a profound impact on every field, announcing the arrival of the era of big data.
The digital-real fusion at this stage shows three characteristics: networking. As massive users, machines, and items are connected to the Internet, people and people, people and things, things and things, and servicesConnections to services are exploding. Under the influence of Metcalfe’s Law, the resulting network value has also shown exponential growth, opening up vast new space for development of the real economy. Data shows that as of the end of 2022, the number of Internet users in my country has reached 1.067 billion, and the number of mobile IoT end users has reached 1.845 billion; my country has become the first country in the world with a “Superman of Things”. Platformization. The platform economy has risen rapidly at this stage, forming a huge digital ecosystem. This ecosystem achieves efficient connection between supply and demand by aggregating and integrating massive amounts of data, enabling enterprises, service providers and consumers toNewzealand Sugar Investors can more conveniently participate in exchanges and cooperation in the digital economy, promoting the rapid development of the real economy. Valuation. The emergence and popularization of big data can not only provide effective support for decision-making activities, but also profoundly affect and change all walks of life. industry’s production model. This is reflected not only in terms of economic value such as empowering the real economy to reduce transaction costs, improving production efficiency, and expanding market space, but also in terms of social value such as improving people’s livelihood and well-being and achieving sustainable development. For example, Didi Chuxing Technology Co., Ltd. cooperates with Jinan, Wuhan and other places to use traffic control department traffic data, combined with smart traffic algorithms, to automatically adjust the light changing time; by optimizing more than 2,000 intersection signal lights, Jinan City has reduced congestion and delays during peak hours. Time is reduced by an average of 20%. This not only improves traffic operation efficiency, but also reduces carbon emissions caused by congestion.
The deepening stage of digital-real integration: intelligence drive
With the release of the chat robot ChatGPT, artificial intelligence technology represented by large models has entered a new stage of accelerated implementation and application, which is the fusion of digital and real. It provides new tools and injects new Zelanian Escort momentum. my country’s large model industry is booming and has entered the “Hundred Model Era”; among them, there are general large models such as “Wen Xin Yi Yan” and “Pangu”, as well as industry large models for vertical fields such as education, finance, and media. These large models provide services for professional solutions for specific business scenarios, pushing the integration of data and reality into a new stage of intelligence drive.
This stage of digital-real integration shows three further deepening characteristics, bringing huge changes to the development of the real economy: subverting the way of intelligent interaction. Relying on technologies such as machine vision and natural language models, the supply of digital technology is closer to human interaction habits than ever before, thus lowering the threshold for using artificial intelligence technology and providing a feasible path for artificial intelligence to empower the real economy. Enhance multimodal data fusion. Large models realize the processing of text, images, audio, and videoThe fusion of multi-modal data enables machines to more comprehensively and deeply understand complex scenarios in the real economy, optimizing and improving the model’s ability to serve the real economy. Promote the emergence of new knowledge. Driven by new theories and technologies such as the mobile Internet, big data, supercomputing, sensor networks, and brain science, artificial intelligence presents characteristics such as deep learning, cross-border integration, human-machine collaboration, open group intelligence, and autonomous control. It can Discovering the laws and patterns hidden behind the data provides new ideas and methods for the emergence of new knowledge and creates new possibilities for the development of the real economy. For example, Baidu Online Network Technology (Beijing) Co., Ltd. cooperated with Geely Automobile to build a knowledge base in the automotive field based on model pre-training on tens of millions of unlabeled data, thereby saving 85% of research and development time and costs and realizing large-scale models. Empower R&D to reduce costs and increase efficiency.
The development trend of digital-real integration: people-oriented three-dimensional integration of humans, machines, and things
Technology-driven technology has laid an important foundation for digital-real integration. Data-driven technology has expanded the elements of digital-real integration. It is really difficult for smart drivers to think about eating snacks all day long and do it by themselves. Mobility will become a powerful engine for the integration of data and reality. In the future, the development of digital technology will extend from the economic field to the entire human society. With the help of cloud computing, Internet of Things, mobile communications, artificial intelligence, virtual reality, brain-computer interface and other technologies, information sharing and collaborative computing between human society (people), digital space (machine) and physical world (things) are realized, forming a people-centered The new form of digital-real integration of the three-dimensional integration of humans, machines, and things serves people’s needs and ultimately provides solutions to major economic and social problems faced by national development.
People-oriented three-dimensional integration of humans, machines, and thingsZelanian Escort‘s digital-physical integration will promote three new trends in my country’s economic development: synergy, the three-dimensional integration of humans, machines and things through the Internet of Everything. The intelligent connection of all things enables real-time perception of human needs, as well as the status of the physical world and digital space, thereby accelerating the efficient collaboration and optimal allocation of the three major elements of material, information, and energy, providing new possibilities for improving industrial resilience and the quality of economic development. For example, Intelligent manufacturing uses technologies such as human-machine collaboration, robot automation, and digital twins to quickly perceive changes in the environment and demand in production activities and make timely responses to them. The fundamental purpose of digital-real integration is to make technology better benefit. For the well-being of the people, human needs, experience and participation are the core of the integration of data and reality; the three-dimensional integration of humans, machines and things will promote the real economy to organize customized production activities around the individual needs of individuals, so that everyone will have a lifelong Enjoy more accurate, more comfortable and higher-quality services in education, social leisure, shopping and entertainment, health care, food, clothing, housing and transportation. For example, Internet of Things applications will monitor users’ heart rate, blood pressure, sleep quality and other health data in real time, and then provide Personalized health management. In the economic development pattern of the three-dimensional integration of human, machine and material, the quality of productsProduction will be based on people’s actual needs and will be manufactured on demand. This not only accurately meets individual needs, but also avoids the waste of resources caused by over-supply; humans and nature will gradually realize harmonious coexistence, and machines will gradually rise from tools to human partners, realizing the realization of human society (people)-digital space ( machine) – the coordination and unity of the physical world (things).
Problems, challenges and countermeasures faced by digital-real integration
Problems and challenges
Currently, my country’s digital economy and real economy continue to integrate Deepening and achieving positive results, however, the new development form that is far from the deep integration of human, machine and material still faces problems and challenges at the levels of theoretical methods, industrial technology, social ethics and other aspects.
Theoretical method level. The underlying logic of the deep integration of humans, machines and objects needs to be optimizedZelanian Escort. How to make machines better serve people’s production and life, promote inclusiveness in the workplace, and improve people’s quality of life is the core of digital-real integration under the integration of humans, machines, and things – machines should be made to serve people, not replace them. . A theoretical system that deeply integrates production and manufacturing with social needs needs to be established urgently. The current integration of data and reality is mostly centered on business scenario workflows and focuses on using new generation information technology to improve production efficiency; however, there is still a lack of connection from production supply to demand satisfaction, and it has not yet connected people’s practical needs and services for education, medical care, etc. The integration of manufacturing systems and a theoretical system that solves economic and social development problems through a closed loop of production, manufacturing and service needs have not yet been formed.
Industrial technology level. Insufficient fusion of human, machine and object data. In a digital society where humans, machines, and things are integrated, human needs are transformed and connected between different scenarios, which places high demands on cross-industry, cross-domain, cross-time, and cross-space data fusion. Existing data fusion mostly focuses on a single field and is difficult to meet the computing needs of cross-domain and multi-type data in the context of ternary fusion of humans, machines and objects. The standard and specification system is incomplete. The development of digital-real integration of the three-dimensional integration of humans, machines, and things requires the support of a standard specification system; however, different companies and industries currently use different data formats and standards, which results in the inability to circulate and share data and increases the difficulty of data integration. Network security issues are prominent. The three-dimensional integration of humans, machines, and things has enabled a large number of enterprises of different sizes and different types of human-computer interaction devices to access the Internet. This has led to the expansion of network attack surfaces and intensified network security risks, thereby threatening the safety of personal life and property, and even threatening economic and social security. national security.
Social and ethical aspects. Data privacy and security issues. In the form of three-dimensional integration of humans, machines and things, a large amount of real economic data will be collected and used, so NZ Escorts may lead to the leakage of personal privacy , data misuse and data security incidents. specialIn the future, with the mature use of brain-computer Sugar Daddy interfaces, biochips and other technologies that are deeply integrated with human actions and thinking, human consciousness, Emotions may be at risk of being read, or even hijacked, rewritten, or deleted. The problem of algorithmic bias. Due to algorithm design flaws or incomplete data in algorithm model training, the algorithm will lead to bias and discrimination against certain groups, thus deviating from the original intention of making technology benefit mankind. Algorithmic uninterpretability. Artificial intelligence models have “black box” characteristics, and their internal operating mechanisms are difficult to explain. As the application of technologies such as artificial intelligence continues to deepen in the real economy, it is crucial that algorithms can be explained in manufacturing, medical, transportation and other fields. Therefore, there is an urgent need to improve the transparency and responsibility of algorithms. Employment and social equity issues. The integration of data and reality may lead to the reduction of jobs in some traditional NZ Escorts industries, while also creating new job opportunities. However, most of the new jobs require workers to have higher digital skills, which may affect workers’ fair employment opportunities and lead to social inequality.
Countermeasures and Suggestions
Deepen the research on theoretical methods for the integration of humans, machines, materials, and reality. Construct a people-centered theoretical framework for the three-dimensional integration of humans, machines, and objects. Guided by the country’s major strategic development needs, major social issues and future social development vision, we will conduct in-depth research on the theoretical framework of the three-dimensional integration of humans, machines and things, break through the digital-real integration development model that simply aims to improve efficiency, and form a people-oriented, human-machine complementarity. The digital and real integration develops a logical system. Build an evaluation system for human-machine collaboration. In order to make machines better serve human goals, an evaluation system for human-machine collaboration should be established from the dimensions of human-machine collaboration efficiency, human-machine collaboration quality, and human-machine collaboration satisfaction to improve the operability and evaluability of human-machine collaboration. Guide various industries to carry out people-oriented digital and real integration to protect the basic rights and interests of workers.
Deepen the exploration and demonstration of the integration of human, machine, physical, digital and real applications. Develop unified data standards. Focus on the key areas of three-dimensional integration of humans, machines, and things, and organize industry associations, enterprises, and experts in the field to formulate standards. Promote data circulation and sharing by formulating cross-industry and cross-field data exchange and sharing standards. Build a cross-industry and cross-domain data space. In key areas such as education, medical care, and transportation, advanced data fusion technology is used to integrate full life cycle related data based on people’s needs to achieve unified storage, management, analysis, and services of multi-domain and multi-scenario data, and promote cross-border Trusted sharing of spatio-temporal and cross-scenario data to meet the needs of data in the context of the three-dimensional integration of humans, machines and objectsZelanian EscortIntegration needs. Accelerate the application demonstration of key scenarios. Explore people-oriented scenario innovation and model innovation of the three-dimensional integration of human, machine and things, in the fields of smart transportation, smart medical care and other fields Launch pilot demonstrations of the three-dimensional integration of humans, machines, and materials. Through exploring the standardized development of the three-dimensional integration of humans, machines, and materials, we will develop experience and models that can be replicated and promoted, and deploy advanced threat detection and response systems to identify and respond to threats in a timely manner. Respond to potential security threats; strengthen privacy protection technology, strengthen identity verification, and conduct data analysis without exposing original data.
Deepen the construction of technical ethics standards for the integration of human, machine, physical, and real data. Construction of collection and use specifications. For different data-real fusion scenarios, clearly define the principles of data collection, use, storage and sharing to ensure that individuals are protected against being collectedZelanian sugar The right to know and control data. Strengthen the classification and supervision of algorithms. Establish an algorithm review agency and establish an algorithm classification and classification system covering the public and commercial fields based on the differences in algorithm application scenarios and their impact on economic and social security; For areas closely related to national public security, we will strengthen the disclosure of relevant data and algorithms, establish a traceability and accountability mechanism for the entire life cycle of algorithms, clarify the principles of research and application of artificial intelligence technology, and strengthen academic research institutions. and enterprises must strictly abide by scientific and technological ethics, technical standards, and laws and regulations throughout the entire life cycle of artificial intelligence to guide scientific researchers to develop responsible artificial intelligence and accelerate labor skills training, and encourage digital skills training institutions and enterprises in vertical subdivisions. Cooperate to develop targeted training courses to improve workers’ digital skills and adapt to the needs of technological development to the greatest extent; at the same time, encourage and strengthen cooperation between universities and enterprises, set up relevant professional courses and practical teaching, and cultivate people who are adaptable to the three-dimensional integration of humans, machines, and things. Comprehensive talents for development needs.
(Authors: Pan Jiaofeng, Wu Jing, Institute of Science and Technology Strategy Consulting, Chinese Academy of Sciences, School of Public Policy and Management, University of Chinese Academy of Sciences. Contributor to “Proceedings of the Chinese Academy of Sciences”)