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21社论丨建设智能社会需要系统性规划
21世纪经济报道· 2025-08-29 00:20
Core Viewpoint - The article outlines China's strategic plan to advance towards an intelligent economy and society by 2035, emphasizing the need for a systematic support framework encompassing technology innovation, policy regulations, talent cultivation, and open cooperation [1][5]. Group 1: Technology Foundation - The establishment of a "data-computing-algorithm" collaborative system is crucial for the intelligent economy, focusing on high-quality data sets as essential for training intelligent models [1]. - The plan includes the development of a national integrated computing network to optimize resource allocation, addressing the imbalance between the high demand in the east and energy abundance in the west [1]. - There is a call for breakthroughs in algorithms through enhanced theoretical research and model architecture innovation, alongside promoting the sharing of open-source codes and datasets to reduce R&D costs for enterprises [1]. Group 2: Policy and Regulation - The rapid development of artificial intelligence presents challenges in ethics, law, and social governance, necessitating a robust framework for data security and privacy protection [2]. - The article stresses the importance of algorithm transparency and fairness, advocating for research into algorithm interpretability and the establishment of ethical review mechanisms for algorithms [2]. Group 3: Talent Development - The development of artificial intelligence relies heavily on high-quality talent, necessitating the integration of AI into traditional education systems, including programming education in primary and secondary schools [3]. - The article suggests a "production-education integration" model led by enterprises to provide practical opportunities for students, bridging the gap between theory and application [3]. - It emphasizes the need for a collaborative innovation alliance among enterprises, universities, and research institutions, supported by government incentives for R&D investment [3]. Group 4: Open Cooperation - The article highlights the global nature of AI development, urging China to engage in global governance and promote technology inclusivity and shared outcomes [4]. - Active participation in multilateral mechanisms like the UN and G20 for AI governance dialogue is recommended, along with promoting smart infrastructure projects under the Belt and Road Initiative [4]. - The need to enhance China's influence in international AI standard-setting and to create a comprehensive ecosystem across the hardware, software, and application spectrum is emphasized [4]. Group 5: Societal Impact - The ultimate goal of the intelligent society is to enhance human well-being rather than merely expanding technology, focusing on inclusive applications in areas like healthcare and education [5]. - The article advocates for a new governance model of "human-machine symbiosis" to optimize public resource allocation through systems like urban brain technology [5]. - It calls for a development philosophy that combines technological advancement with humanistic values to achieve high-quality development in the intelligent society [5].
21评论|建设智能社会需要系统性规划
Core Viewpoint - The recent government document outlines a comprehensive plan for China to transition into an intelligent economy and society by 2035, emphasizing the need for a multi-dimensional support system involving technological innovation, policy regulations, talent cultivation, and open cooperation [1][5]. Technological Foundation - The establishment of a "data-computing power-algorithm" collaborative system is crucial for the intelligent economy, focusing on data element innovation, networked computing power, and autonomous breakthroughs in algorithms [1]. - High-quality datasets are essential for training intelligent models, and the government aims to enhance data property rights and promote public data openness [1]. - The "national integrated computing network" is being developed to optimize resource allocation, addressing the disparity between high demand in the east and abundant energy in the west [1]. - There is a push for foundational theoretical research and model architecture innovation, alongside the establishment of a model capability assessment system [1]. Policy and Regulation - The rapid development of artificial intelligence presents challenges in ethics, law, and social governance, necessitating a robust regulatory framework [2]. - Data security and privacy protection are highlighted as fundamental issues, with a need to balance convenience and privacy rights in applications like facial recognition [2]. - The document emphasizes the importance of algorithm transparency and fairness, advocating for research into algorithm explainability and the establishment of ethical review mechanisms [2]. Talent Development - The growth of artificial intelligence relies on high-quality talent, necessitating the integration of AI into traditional education systems [3]. - Initiatives include introducing programming education in primary and secondary schools and enhancing interdisciplinary studies in higher education [3]. - A collaborative innovation alliance among enterprises, universities, and research institutions is recommended to bridge the gap between theory and application [3]. Open Cooperation - The global nature of AI development calls for China to engage in international governance and promote technology sharing [4]. - Active participation in multilateral mechanisms like the UN and G20 is encouraged to shape AI governance dialogues [4]. - The document suggests enhancing China's influence in international AI standard-setting and fostering a complete ecosystem across hardware, software, and applications [4]. Societal Impact - The ultimate goal of an intelligent society is to enhance human well-being rather than merely expanding technology [5]. - AI applications should focus on inclusive scenarios, such as AI-assisted healthcare and smart education platforms for remote areas [5]. - A new governance model promoting "human-machine symbiosis" is proposed to optimize public resource allocation through real-time monitoring systems [5]. - The document advocates for a development philosophy that combines technological advancement with humanistic values to achieve high-quality development [5].
建设智能社会需要系统性规划
Group 1 - The core viewpoint of the article emphasizes the comprehensive development of an intelligent economy and society in China by 2035, supported by a systematic framework involving technology innovation, policy regulations, talent cultivation, and open cooperation [1][5] Group 2 - The article outlines the need for a collaborative system of "data-computing power-algorithms" as the foundation for the intelligent economy, highlighting the importance of high-quality data sets, a national integrated computing network, and breakthroughs in algorithms [1][2] - It stresses the necessity of establishing a regulatory framework to address ethical, legal, and social governance challenges posed by AI, particularly focusing on data security, privacy protection, and algorithm transparency [2][3] Group 3 - The cultivation of high-quality talent is crucial for the development of AI, advocating for the integration of AI education into traditional curricula and fostering collaboration between enterprises, universities, and research institutions [3][4] Group 4 - The article calls for open cooperation in AI development, encouraging participation in global governance and the sharing of technological advancements, while also emphasizing the importance of establishing a comprehensive ecosystem across the entire industry chain [4][5] Group 5 - The ultimate goal of an intelligent society is to enhance human well-being, focusing on inclusive applications of AI in areas such as healthcare, education, and social governance, while promoting a development philosophy that aligns technology with humanistic values [5]
2025最新上海软件开发公司哪个比较好
Sou Hu Cai Jing· 2025-05-19 06:33
Group 1: Company Highlights - Ruizhi Interactive Technology Co., Ltd. focuses on financial technology and industrial IoT, with a cross-border payment platform processing over 100,000 transactions daily and improving settlement efficiency by 30% [3] - Ruizhi Kai High Technology Co., Ltd. enhances high-end manufacturing and smart city construction, achieving over 85% accuracy in equipment fault prediction and reducing maintenance costs by 20% [4] - Alibaba Cloud participates deeply in Shanghai's smart city development, optimizing traffic signal timing to reduce congestion duration by 12% during peak hours [5] - Tencent develops a full-line operation simulation system for Shanghai Metro, reducing fault response time by 35% [6] - JD Technology implements an intelligent warehousing management system in Shanghai, decreasing manual intervention frequency by 60% [7] Group 2: Industry Trends - The Shanghai software development industry is experiencing two major trends: technology-driven scenario deepening and regional collaborative ecosystem building [8] - By 2025, Shanghai's software industry is projected to grow by 38% compared to 2022, with industrial software and AI companies accounting for 32% of the total [8] - The integration of AI and blockchain technologies in finance, manufacturing, and logistics is leading to differentiated solutions [8] Group 3: Future Outlook - Shanghai's software development companies are empowering the real economy through technological innovation and ecological collaboration [9] - The application of emerging technologies such as quantum computing and 5G-A may position Shanghai more strategically in the global innovation landscape [9]