It is reported that the artificial intelligence standard architecture includes six parts: basic standards, platform/support standards, key technical standards, product and service standards, application standards, and security/ethical standards.
The development of the artificial intelligence industry is booming, and the formulation of relevant standards is particularly urgent.
On January 18th, the National Standardization Administration Committee formally established the National Artificial Intelligence Standardization Group and the Expert Advisory Group. The overall team leader is Zhao Bo, dean of China Electronics Technology Standardization Research Institute. The vice-team leader is involved in Alibaba Cloud, Science and Technology News (61.370, -0.18, -0.29%), Chinese Academy of Sciences, Peking University, Beijing University of Aeronautics and Astronautics, Machinery Senior executives and experts from the Institute of Industrial Instrumentation and Comprehensive Technology Economics. Pan Yunhe, an academician of the Chinese Academy of Engineering, served as the head of the expert advisory group.
It is understood that the national AI standardization group assumes the role of overall coordination and planning layout in the artificial intelligence standardization, and is responsible for the international standardization of artificial intelligence, including the formulation of China's artificial intelligence standardization plan, system and policy, coordination of relevant national standards and technical content. Technical harmonization, establishment of AI basic power standards and the transmission mechanism of industry application standards. The expert advisory group is composed of well-known experts and scholars in the field of artificial intelligence in China, and is responsible for providing advice on the overall planning, system and policy measures of artificial intelligence in China.
"Standardization work has a basic, supportive and leading role in artificial intelligence and its industrial development. It is not only the key to promoting industrial innovation and development, but also the commanding height of industrial competition." Zhao Bo said, "China is in the field of artificial intelligence. It has a good foundation, but the infrastructure, policies, and standards that are suitable for the development of artificial intelligence still need to be improved."
Standards lead the industry
The establishment of the National AI Standardization Group and the Expert Advisory Group was a response to the Ministry of Industry and Information Technology issued the “Three-Year Action Plan for Promoting the Development of a New Generation of Artificial Intelligence Industry (2018-2020)†(hereinafter referred to as the “Action Planâ€).
The previous “Action Plan†made specific plans for the development of artificial intelligence in China in the next three years. One of the four development goals involved the establishment of an artificial intelligence industry support system, and the establishment of an artificial intelligence standard system and a test evaluation system. Security assurance system framework.
"The advanced and perfection of artificial intelligence standards is related to the healthy development of the industry and the strength of the competitiveness of the international market of products." Zhao Bo pointed out.
In fact, developed countries including the United States, the European Union, and Japan all attach great importance to the standardization of artificial intelligence. The 21st Century Business Herald reporter learned that whether it is the "National Artificial Intelligence Research and Development Strategy Plan" issued by the United States, or the "Human Brain Plan" issued by the European Union, or the "Artificial Intelligence / Big Data / Internet of Things / Network" implemented by Japan The comprehensive safety project has proposed strengthening the deployment around core technologies, top talents, and standards, in an effort to seize a new round of technology leadership.
According to Zhao Bo, there are already large-scale, commercially available products and applications on the market, but it is necessary to standardize the technical results to achieve rapid innovation and promotion; such as face recognition systems, smart speakers, service robots (18.370, -0.04, -0.22%) and other product quality are uneven, and uniform standards are needed to improve product and service quality.
And around the ethical issues such as the "tram problem" in the automatic driving field, Apple mobile phone fingerprint leakage user privacy and other issues, it is also necessary to develop relevant safety standards and specifications to ensure that information security and intelligent systems serve human ethics. In addition, in the current situation of the industry giants to create their own deep learning frameworks such as open source algorithms and platform interface binding, user data information is difficult to migrate, but data islands are formed. Standard unification is easier to achieve between vendors. Interoperability and collaboration.
“Either basic standards, technical standards or ethical standards are the key considerations for the future national AI standardization group.†Wu Wenjun, deputy head of the National AI Standardization Group and a professor at Beijing University of Aeronautics and Astronautics, told 21st Century Business Herald, “For Research and discussion in these areas will go hand in hand."
Standard architecture
By analyzing the development status of artificial intelligence at home and abroad, we can find out the needs of AI standardization.
“As an enterprise in the artificial intelligence industry, we can feel the urgent need for standardization.†Junda, vice president of Science and Technology, said: “The first thing that comes to mind is the system framework, followed by the ability, the combination of artificial intelligence technology and industry should have What capabilities can be defined as wisdom, which needs to be further clarified. In addition, artificial intelligence interfaces, data standards and evaluation are also extremely important directions for industry standardization."
Around these needs, the artificial intelligence standard architecture has also formed. “The artificial intelligence standard architecture includes basic standards, platform/support standards, key technical standards, product and service standards, application standards, and security/ethical standards.†Zhao Bo said.
The "Artificial Intelligence Standardization White Paper" issued by the China Electronics Technology Standardization Institute specifically introduced the architecture. Among them, the basic standards cover the four categories of terminology, reference architecture, data and test evaluation, and are located at the bottom of the artificial intelligence standard architecture. The platform/support standard is a comprehensive integration of artificial intelligence hardware, software, network and data, which plays a role in the artificial intelligence standard architecture. The key technical standards are mainly for natural language processing, human-computer interaction, computer vision, biometrics and VR/AR, which provide support for the practical application of artificial intelligence.
The application standard is located at the top of the artificial intelligence standard architecture, and is oriented to the specific needs of the industry. The product and service standards involve relevant standards for intelligent products and new service models formed in the field of artificial intelligence technology. Safety/ethical standards run through other parts and support the development of the entire industry.
"Huawei originally believed that artificial intelligence is the enabling technology of enterprises. By developing artificial intelligence technology, it can help achieve efficiency improvement within the enterprise." Song Zixuan, vice president of Huawei Cloud Strategy and Business Development, told 21st Century Business Herald. Focusing on the formulation of current AI standards, considering that open source has become a de facto standard in the current industry, Song Zhexuan proposed to introduce open source as an important factor in the entire standard-setting process so that the real standards can be well placed after launch. practice.
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