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国家定调「人工智能+」:中国AI十年三步走,战略解读来了
机器之心· 2025-08-27 08:36
Core Viewpoint - The article discusses China's strategic plan for artificial intelligence (AI) development, emphasizing its transition from an industrial upgrade tool to a foundational infrastructure for modernization, with a vision extending to 2035 [2][5]. Summary by Sections Strategic Goals - The "AI+" action plan outlines a three-step approach: by 2027, AI should be deeply integrated into six key areas with a penetration rate of over 70% for new intelligent terminals and agents; by 2030, this rate should exceed 90%; and by 2035, AI will be a fundamental support for achieving socialist modernization [5][7][11]. Key Areas of Focus - The six key areas for AI integration include technology, industry, consumption, livelihood, governance, and global cooperation. These areas are characterized by clear data entry points, defined business loops, and strong technology diffusion effects [6][8]. Industry Transformation - In the industrial sector, the plan aims to promote the intelligent transformation of the three pillar industries (industrial, agricultural, and service sectors) and foster new "intelligent native enterprises" that leverage AI as their foundational logic [6][9]. Societal Impact - AI is expected to enhance quality of life and reshape service and product forms in the consumer sector, while also improving governance through smart city initiatives and intelligent public administration [8][9][12]. Technological Development - The plan emphasizes the importance of models, data, computing power, and open-source initiatives as critical components for accelerating AI industry development. It highlights the need for high-quality datasets and innovative AI chip technologies [14][20]. Regulatory Framework - The article notes that AI governance in China is entering a new institutional phase, with a focus on addressing risks such as algorithmic bias and model opacity. New regulations are being introduced to ensure responsible AI use [21][22]. Conclusion - The "AI+" action plan represents a significant shift in China's approach to AI, focusing on practical applications across various sectors and addressing existing challenges in AI deployment [23].
从“互联网+”到“人工智能+” 迈向智能经济和智能社会发展新阶段
Ren Min Ri Bao· 2025-08-26 22:09
面对变革浪潮,我国启动实施"人工智能+"行动,既是加快发展新质生产力的关键举措,也是推动数字 经济向智能经济和智能社会发展的必然要求,意义重大、时机成熟。 习近平总书记指出,面对新一代人工智能技术快速演进的新形势,要充分发挥新型举国体制优势,坚持 自立自强,突出应用导向,推动我国人工智能朝着有益、安全、公平方向健康有序发展。近日,国务院 印发《关于深入实施"人工智能+"行动的意见》(以下简称《意见》),明确实施"人工智能+"行动的总 体要求、发展目标和重点方向,为进一步推动人工智能与经济社会各行业各领域广泛深度融合,培育和 发展新质生产力,加快形成智能经济和智能社会新形态提供了路径指引。 "互联网+"到"人工智能+"的创新演进 2015年,我国全面启动实施"互联网+"行动。10年来,我国互联网取得快速发展,互联网应用生态逐步 繁荣,互联网已渗透到生产、生活、社会治理的方方面面,成为推动产业升级、消费变革和民生改善的 重要推动力量。 从"互联网+"到"人工智能+",是信息技术革命的进一步延续和深化。互联网和人工智能均属于通用性技 术范畴,两者在应用方面都具有模式新、迭代快、对传统业态改造能力强的特点。"互联网+ ...
国务院划重点:十年时间,全面AI
第一财经· 2025-08-26 15:03
Core Viewpoint - The article emphasizes that 2024 is expected to be the year of AI application, while 2025 will mark the emergence of intelligent agents, transitioning AI from a reactive to a proactive service model. The Chinese government has issued a document outlining a roadmap for integrating AI into six key sectors by 2027, aiming for over 70% application penetration of new intelligent terminals and agents [1][3][7]. Summary by Sections Government Policy and Strategic Goals - The State Council's document outlines a three-phase approach for AI implementation, with a target of over 70% penetration of new intelligent terminals and agents by 2027, and over 90% by 2030. By 2035, China aims to fully transition into a smart economy and society [7][8]. - The document highlights the importance of creating an innovation-driven paradigm and enhancing self-reliance in technology to build a complete innovation ecosystem [7][8]. Key Action Areas - The six key areas for AI integration include: 1. **Scientific Technology**: Accelerating major scientific discoveries and enhancing collaboration between AI and fields like biotechnology and quantum technology [8]. 2. **Industrial Development**: Focusing on AI applications in industrial, agricultural, and service sectors to improve decision-making and production processes [8]. 3. **Consumer Quality Improvement**: Developing intelligent applications to enhance service quality across various sectors, including entertainment and healthcare [8]. 4. **Public Welfare**: Integrating AI into education and healthcare to improve service efficiency and quality [9]. 5. **Governance Capability**: Utilizing AI for better public service delivery and disaster management [9]. 6. **Global Cooperation**: Promoting international collaboration in AI development [9]. Industry Perspectives - Industry leaders, such as Zhou Hongyi from 360 Group, believe that the emergence of domestic large models has positioned China at the forefront of AI innovation, leading to a significant reduction in deployment costs and the onset of large-scale commercial applications [10]. - Yang Yuanqing from Lenovo emphasizes the shift towards human-machine collaboration, where AI serves as a foundational element for enterprise operations, transforming the relationship between humans and machines [11]. - The article also notes advancements in agricultural technology, with AI models aiding in crop breeding and the use of drones to enhance agricultural productivity [13][14]. Safety and Governance - The document stresses the importance of AI safety, mentioning the need for a multi-faceted governance framework to address emerging threats, such as "intelligent hackers" [15]. - Industry leaders advocate for a balanced approach that maximizes AI's potential while ensuring safety and reliability in its applications [15].
国务院划重点:十年时间,全面AI
Di Yi Cai Jing· 2025-08-26 13:43
Core Insights - 2024 is anticipated as the year of AI application implementation, with AI starting to integrate into daily life and smart devices, while 2025 is seen as the year of intelligent agents transitioning from "following commands" to "proactively serving" [1] - The State Council's document outlines a vision for AI integration across six key sectors by 2027, aiming for over 70% application penetration of new intelligent terminals and agents, with a goal of entering a new stage of intelligent economy and society by 2035 [4][5] AI Integration and Development - The State Council's opinion emphasizes the need for AI to cover various industries, including quantum technology, education, and healthcare, with a focus on six key action areas: scientific technology, industrial development, quality consumption, public welfare, governance capabilities, and global cooperation [4][5] - In scientific technology, the document calls for accelerating major scientific discoveries and enhancing collaboration between AI and fields like biomanufacturing and quantum technology [5] Industrial and Agricultural Applications - The integration of AI in industrial, agricultural, and service sectors is highlighted, with a focus on enhancing intelligent perception and decision-making capabilities in industrial systems and promoting AI-driven innovations in agriculture [5][9] - The document mentions the development of intelligent agricultural machinery and drones to address labor shortages and improve agricultural management [9] Consumer Experience Enhancement - The opinion outlines the development of intelligent applications aimed at improving quality of life in areas such as entertainment, e-commerce, and elder care, expanding into new service consumption scenarios [5][6] Government and Global Cooperation - AI's role in government services is emphasized, aiming for precise demand identification and proactive service planning, as well as enhancing public safety and environmental monitoring [6][10] - The document stresses the importance of global cooperation in AI development and governance [6] Industry Perspectives - Industry leaders, such as Zhou Hongyi from 360 Group, highlight the transition to a commercialized AI application era, with domestic models achieving international competitiveness [7] - Lenovo's chairman, Yang Yuanqing, notes the shift towards human-machine collaboration, transforming enterprise operations and emphasizing the need for a holistic approach to intelligent transformation [8] Agricultural Innovations - The launch of the Fengdeng breeding model represents a significant breakthrough in China's seed technology, with over 100 breeding units globally utilizing the model [9] - The integration of AI in meteorological forecasting demonstrates AI's potential in earth sciences and environmental monitoring [9] Safety and Governance - The document addresses the importance of AI safety, with specific measures to enhance security capabilities and establish a multi-faceted governance framework [10][11] - Industry leaders stress the need for responsible AI innovation that prioritizes human safety and ethical considerations [10][11]
国务院关于深入实施“人工智能+”行动的意见
Xin Hua She· 2025-08-26 09:21
Overall Requirements - The document outlines the implementation of the "Artificial Intelligence +" initiative, aiming to integrate AI across various sectors to reshape production and living paradigms, enhance productivity, and support modernization efforts in China [2][3]. Key Actions Artificial Intelligence in Science and Technology - Accelerate scientific discovery processes through AI-driven research paradigms and enhance the construction of scientific models [3][4]. - Innovate technology development models and improve efficiency by promoting AI-driven collaborative development in research and product realization [4]. - Transform research methods in philosophy and social sciences to adapt to the AI era, exploring the impact of AI on human cognition and ethics [4][5]. Industrial Development - Encourage enterprises to integrate AI into their strategic planning and operations, fostering new business models and smart industries [5][6]. - Promote comprehensive AI integration in industrial processes, enhancing skills and knowledge sharing across sectors [6]. - Advance agricultural digitization through AI applications in breeding and farming, improving production capabilities [6][7]. Consumer Quality Enhancement - Expand new service consumption scenarios by developing intelligent service industries and enhancing service quality across various sectors [7][8]. - Foster new product consumption models by promoting smart interconnected devices and exploring innovative product forms [7][8]. Welfare Improvement - Leverage AI to create smarter work environments and new job opportunities, while supporting skills training for the workforce [8][9]. - Integrate AI into education to enhance teaching methods and promote personalized learning experiences [9]. - Utilize AI in healthcare to improve service efficiency and quality, contributing to a better quality of life [9][10]. Governance Capacity - Enhance urban governance through smart infrastructure upgrades and AI applications in public services [10][11]. - Develop a multi-faceted public safety governance system utilizing AI for monitoring and emergency response [11]. - Improve ecological governance through AI-driven environmental monitoring and resource management [11][12]. Global Cooperation - Promote AI as an international public good, fostering equitable global participation in AI development [12][13]. - Support the establishment of a global governance framework for AI, addressing international challenges collaboratively [12][13]. Strengthening Support Capabilities Model and Data Innovation - Enhance foundational AI research and model capabilities, focusing on efficient training and application methods [13][14]. - Innovate data supply mechanisms to support high-quality AI datasets and encourage data sharing [14][15]. Talent Development - Advance AI education across all levels and enhance talent cultivation through interdisciplinary approaches [15][16]. - Establish diverse evaluation systems for AI talent to better align with industry needs [15][16]. Policy and Security - Strengthen regulatory frameworks and financial support for AI initiatives, ensuring sustainable development [16][17]. - Enhance security measures for AI applications to mitigate risks associated with AI technologies [17]. Implementation - Emphasize the importance of leadership in the "Artificial Intelligence +" initiative, ensuring effective coordination and local adaptation of policies [17][18].
汽车早餐 | 市场监管总局在汽车领域部署开展CCC认证试点工作;齐泽凯出任大众汽车乘用车品牌中国首席执行官;零跑汽车进入香港市场
Domestic News - The Ministry of Commerce's international trade negotiation representative announced that a framework agreement has been reached between China and the U.S. during the first meeting of the negotiation mechanism held in London on June 10 [2] - The State Administration for Market Regulation has initiated a pilot program to enhance the international capabilities of automotive CCC certification institutions, aiming to support China's automotive exports and address quality infrastructure shortcomings [3] - The Central Cyberspace Affairs Commission and the State Administration for Market Regulation jointly issued the "Standardization Guidelines for the Development and Governance of Intelligent Society (2025 Edition)," emphasizing the need to identify and assess the social impacts of intelligent technology applications [4] International News - U.S. President Trump plans to sign three resolutions on June 12 to revoke California's authority to set its own vehicle emissions standards [5] - General Motors announced a $4 billion investment in three U.S. assembly plants, which includes transferring or increasing production of two models currently made in Mexico to U.S. facilities, aiming to assemble over 2 million vehicles annually by 2027 [6] - The Zambian government is encouraging automotive manufacturers to establish electric vehicle component factories near its copper mines to enhance value addition [7] - Marelli Corp, a Japanese automotive parts company, filed for Chapter 11 bankruptcy protection in the U.S. and secured approximately $1.1 billion in financing commitments from lenders [8] Corporate News - Robert Cisek will succeed Stefan Mecha as the CEO of Volkswagen Passenger Cars in China starting July 1, 2025 [9] - Leap Motor officially entered the Hong Kong market with the opening of its first store, aiming to use the region as a platform for global exposure [10] - Xiaomi's SU7 Ultra production model set a new record for mass-produced electric vehicles at the Nürburgring Nordschleife with a time of 7 minutes and 4.957 seconds [11] - XPeng Motors announced legal action against an automotive media outlet for breaching a confidentiality agreement related to a new model product shoot [12] - Alibaba's AliExpress launched a car sales business, primarily featuring Chinese new energy vehicles, marking a significant step in cross-border e-commerce [13] - CATL signed a strategic cooperation agreement with the University of Hong Kong to focus on zero-carbon policy standards and innovations [14] - AAC Technologies completed a strategic acquisition of Hebei Chuguang Automotive Parts Co., aiming to enhance automotive intelligence and sensing technology [15]