The General Office of the State Council issues opinions, deploying AI development and an employment-friendly development approach
The General Office of the State Council issued the "Opinions on Adapting to the Development of Artificial Intelligence Technology to Help Build an Employment-Friendly Development Approach," making arrangements for related work. The document proposes deepening implementation of the "AI+" initiative, encouraging the eastern region to lay out core AI industries, the central and western regions to take on upstream and downstream industries such as data annotation and intelligent terminal manufacturing, and leveraging the role of the National Venture Capital Guidance Fund, the National Artificial Intelligence Industry Investment Fund, and others to support AI enterprises. The document also requires promoting the human-machine collaboration model, steadily and prudently grasping the scope, intensity, and pace of AI application in labor-intensive industries, and encouraging enterprises to explore establishing an unemployment buffer period system.
Why read this
AI score 62
The document breaks down employment impacts into several lines: industry cultivation, human-machine collaboration, talent training, and employment services, which can be used to observe where the policy lands.
Topics
Body · AI translation
Main body of the article
October 23 afternoon news: The General Office of the State Council issued the "Opinions on Adapting to the Development of Artificial Intelligence Technology and Helping Build an Employment-Friendly Development Model" (hereinafter referred to as the "Opinions"), making arrangements for related work.
The "Opinions" mention: deeply implement the "AI+" initiative, encourage the eastern region to lay out core AI industries, guide the central and western regions to undertake upstream and downstream industries such as data annotation and intelligent terminal manufacturing according to local conditions, and accelerate the formation of new growth points for employment in the AI field. Accelerate the cultivation of AI-native enterprises, specialized, refined, distinctive and innovative "little giant" enterprises, etc., and include eligible enterprises within the scope of support from special loans for financial assistance to enterprises to stabilize and expand jobs as required, creating more new jobs and new opportunities.
Implement the AI small and medium-sized enterprise entrepreneurship support plan, and use the open-source ecosystem to promote innovation and entrepreneurship among small and medium-sized enterprises. Strengthen the supply of public services for digital transformation, encourage the development of "small, fast, light and precise" digital products and solutions, ensure that small and medium-sized enterprises and individual industrial and commercial households use intelligent production factors such as data and algorithms equally in accordance with the law, support small and medium-sized enterprises in exploring low-cost, lightweight intelligent upgrading paths, further lower the threshold for AI application, and enhance the capacity to absorb employment.
Give full play to the role of government investment funds such as the National Venture Capital Guidance Fund and the National Artificial Intelligence Industry Investment Fund, and support the innovative development of enterprises in the AI field in a market-oriented manner. Build high-level AI open-source communities, deploy and implement a batch of high-quality open-source projects, and create an effect of entrepreneurship driving employment. Implement the models of "scientific and technological achievements + entrepreneurship", "industrial development + entrepreneurship", "vocational skills + entrepreneurship", and "people's livelihood needs + entrepreneurship"; around entrepreneurial projects such as AI application scenario innovation and transformation of technological achievements, implement entrepreneurship support policies and provide business incubation services.
Promote human-machine collaboration models and steadily respond to the impact of job substitution
Around the cultivation and large-scale application of AI scenarios, accelerate the development of new occupations and release new occupational standards, and expand demand for new occupations and new job types such as digital management professionals, AI engineering technicians, and AI trainers. Encourage local areas to add related professional titles evaluation specialties in light of the needs of AI industry development, and carry out AI-related vocational skill level certification in a timely manner.
The "Opinions" mention: give play to the role of AI in helping traditional industries transform and upgrade, guide the better promotion of human-machine collaboration models in the intelligent development of all factors of industry and the digital-intelligent transformation and upgrading of agriculture, and tap digital-intelligent employment opportunities in traditional fields. Accelerate the construction of new AI-driven service methods, advance producer services by field toward specialization and the high end of the value chain, promote the high-quality, diversified and convenient development of consumer services, expand new service consumption scenarios such as experiential consumption and personalized consumption, and expand the employment capacity of the service industry.
Give play to the role of AI in improving the employment environment, raising occupational safety levels, and improving work quality and efficiency, and prioritize promotion and application in positions with labor shortages and high environmental risks. Steadily and prudently grasp the scope, intensity and pace of AI application in labor-intensive industries, and minimize the impact on practitioners. Encourage enterprises to explore the establishment of an unemployment buffer period system, and in the process of large-scale promotion and application of AI, inform affected workers in advance and provide support for transition and job transfer employment.
Strengthen talent cultivation and intelligent services, and improve the supporting system
Encourage regular higher education institutions and vocational schools (including technical colleges) to accelerate the dynamic optimization of discipline and major settings, make extraordinary arrangements for disciplines and majors urgently needed in the AI field, strengthen the construction of related interdisciplinary majors, increase the placement of AI "micro-majors", implement compound talent training projects, and cultivate more AI compound talents. Strengthen joint training between schools and enterprises, and support leading science and technology enterprises in participating in curriculum development, teacher training, and upgrading of teaching facilities. Solidly advance AI education at all stages, promote student practice in enterprises and enterprise engineers teaching in schools, and cultivate students' exploratory and creative thinking abilities.
Deeply implement the "Skills Illuminate the Future" training initiative. When local areas carry out project-based and order-based digital technical skills training, they should closely follow market demand in the AI field and encourage young people such as college graduates, migrant workers, unemployed persons, etc. to participate in AI-related employment and entrepreneurship training projects. Encourage local areas to actively carry out AI-related skills training relying on public training bases, enterprise training bases, high-skilled talent training bases, etc. Promote AI general education for the whole society, and rely on the National Smart Education Public Service Platform, the Ministry of Industry and Information Technology technical skills talent online learning platform, continuing education network platforms, etc., to launch more public welfare courses. Encourage the active carrying out of AI-related skills competition activities in existing vocational skills competitions.
Use AI to help implement employment policies. Explore the construction of an intelligent identification mechanism for policy implementation, analyze the characteristics of service recipients, intelligently push employment policies, and improve the quality and efficiency of "policies finding people". Strengthen the application of AI in employment policy evaluation, fund management, publicity and interpretation, and consultation.
Improve the intelligent level of employment services. Upgrade and improve the national employment information resource database, the National College Student Employment Service Platform, and the "China Employment" public service platform, and strengthen data collection, intelligent analysis, and precise services. Advance the construction of national AI application pilot test bases, coordinate existing resources to explore the intelligent upgrading of grassroots public employment service networks, and deepen the application of AI in fields such as labor and personnel dispute mediation and arbitration. Promote AI empowerment of human resources services, and encourage business entities to innovate and optimize new products and new models such as large models for job recruitment, intelligent interviews, and virtual reality training.
Strengthen research on the employment impact of AI application. Carry out special surveys on the employment impact of AI application, and continuously track situations such as AI application penetration, job creation and substitution, and changes in skill demand. Relying on existing resources such as universities and research institutions, lay out a batch of AI employment research centers. Implement national social science fund and other scientific research projects well, and conduct forward-looking research on the impact of AI technology development on employment and income distribution.
(Source: Securities Times) Middle of the main text Embedded advertisement