(Original title: The artificial intelligence industry will break the trillion-dollar autopilot by 2020 and will speed up the development of safety management regulations)
Every time the reporter Feng Wei edits Chen Xu
Not holding the steering wheel and driving the Beijing Five Rings is not an unattainable dream at the moment, and in the near future it may not even alarm the traffic police.
On July 20, the State Council issued the "New Generation Artificial Intelligence Development Plan" (hereinafter referred to as the "Planning"). It is clear that by 2020, artificial intelligence ethical norms and policies and regulations will be established in some areas. By 2030, a more complete artificial intelligence will be established. Laws, regulations, ethical norms and policy systems.
The key tasks mentioned in the “Planning†include building an open and collaborative artificial intelligence technology innovation system, fostering high-end and high-efficiency smart economy, building a safe and convenient smart society, strengthening military-civilian integration in the artificial intelligence field, and building an ubiquitous safe and efficient intelligent infrastructure. System, forward-looking layout of a new generation of artificial intelligence major science and technology projects and other six tasks.
In order to support the development of artificial intelligence, the "Plan" proposes to make full use of existing funds, bases, and other stock resources, make overall arrangements for international and domestic innovation resources, give full play to the role of financial input, policy incentives, and the leading role of market allocation resources, inciting enterprises, The society has increased investment and formed a new pattern of multi-lateral support from fiscal funds, financial capital, and social capital.
Core industry scale of 150 billion within 3 years
Whoever first becomes an AI-powered country will grasp the opportunity of this round of technological revolution. In order to seize the major strategic opportunities for the development of artificial intelligence and build the first-mover advantage in the development of artificial intelligence in China, the State Council issued a "New Generation Artificial Intelligence Development Plan."
"Planning" first gathered artificial intelligence theory and technical problems, proposed the establishment of a new generation of artificial intelligence basic theoretical system, the establishment of a new generation of artificial intelligence key common technology system.
The basic theories that need to be broken include strengthening big data intelligence, cross-media awareness computing, man-machine hybrid intelligence, group intelligence, autonomous collaboration and decision-making. The key common technologies include knowledge computing engine and knowledge service, cross-media analysis reasoning, swarm intelligence key technology, hybrid enhanced intelligent new architecture and new technology, and autonomous unmanned system intelligence technology.
Liu Feng, director of the Institute of Industrial Science and Technology Development at the China Academy of Science and Technology Development Institute, told the reporter of “Daily Economic Newsâ€: “Artificial intelligence and intelligent manufacturing are a wide range of concepts. The main features include data-driven devices that are self-aware and self-determined. Self-adjustment."
The "planning" mentioned that the overall level of development of artificial intelligence in China is still far behind that of developed countries, lacking significant original achievements, basic theory, core algorithms and key equipment, high-end chips, major products and systems, basic materials, and components. There is a big gap between software and interfaces.
“Not only domestically but also currently facing many technical bottlenecks in other developed countries. In terms of technology, core components such as chips, control software, and sensors need to be broken. There are also cost issues, if the products produced are still the original products, original prices, However, because it is using smart devices to increase costs, it is not worthwhile," said Liu Feng.
To seize the high ground of the international artificial intelligence field, "Planning" proposes a "three-step" strategic goal. At the theoretical and technical level, the "Planning" proposes that by 2020 the basic theory and core technologies will achieve important progress, and the competitiveness of the artificial intelligence industry will enter the international first-party square; by 2025, some technologies and applications will reach world-leading levels, and artificial intelligence will become The main driving force for China's industrial upgrading and economic restructuring. By 2030, artificial intelligence theory, technology, and applications have reached the world's leading level, becoming the world's leading artificial intelligence innovation center.
According to the “Planning†expected target, by 2020, the scale of artificial intelligence core industries will exceed 150 billion yuan, bringing the size of related industries to more than 1 trillion yuan; by 2030, the scale of artificial intelligence core industries will exceed 1 trillion yuan, bringing The scale of the industry exceeds 10 trillion yuan.
Lay a legal basis for new technology applications
In addition to the technical challenges, the development bottleneck of artificial intelligence comes from the ethical and legal aspects. On July 5 this year, Li Baihong, the CEO of Baidu Company, alerted the traffic police by riding a driverless car on the Fifth Ring Road in Beijing.
Liu Feng commented on the reporter of “Daily Economic Newsâ€: “In addition to theoretical techniques, there are two other challenges that are rarely mentioned: First, the ownership of big data required by artificial intelligence and how the price should be defined; It is not clear that the legal liability brought by smart devices, such as auto accidental motor vehicles, who should be responsible, these issues may involve the adjustment of market rules, legal systems."
In this regard, the "plan" has a clear understanding: artificial intelligence is a disruptive technology that affects a wide range of areas. It may bring problems such as changing the employment structure, impacting laws and social ethics, infringing on personal privacy, and challenging international relations norms. It will manage the government. Economic security, social stability and even global governance have far-reaching implications.
“Planning†proposes that it is necessary to increase the research and application of artificial intelligence to maximize the potential of artificial intelligence; it is also necessary to anticipate the challenges of artificial intelligence, coordinate industrial policies, innovation policies, and social policies to achieve the coordination of incentive development and reasonable regulation. To prevent risks as much as possible.
In terms of the adjustment of laws and regulations, the "Plan" makes it clear that laws, regulations, and ethical and moral frameworks must be established to ensure the healthy development of artificial intelligence.
The improvement of laws and regulations involving artificial intelligence includes the study of legal issues related to the use of artificial intelligence, such as civil and criminal responsibility confirmation, privacy and property rights protection, and information security, and the establishment of a traceability and accountability system to clarify the legal subjects of artificial intelligence and related Rights, obligations, responsibilities, etc.
"Planning" specifically mentioned that focusing on sub-segmentation areas such as autopilot, service robots and other application foundations, speeding up research and development of related safety management laws and regulations, and laying a legal foundation for the rapid application of new technologies. Conduct research on issues such as artificial intelligence behavioral science and ethics, and establish an ethical framework for ethical and moral multi-level judgment structures and human-machine collaboration.
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