CGTN|梁正:“人工智能+”赋能新质生产力发展

点击蓝字

关注我们


CGTN|梁正:“人工智能+”赋能新质生产力发展图1
CGTN|梁正:“人工智能+”赋能新质生产力发展图2

梁正

清华大学人工智能国际治理研究院副院长、人工智能治理研究中心主任、中国科技政策研究中心副主任、公共管理学院教授

I-AIIG


'AI Plus' empowers the development of new quality productive forces

The 15th Five-Year Plan period (2026-2030) is a crucial stage for China to seize the strategic opportunities presented by the new round of technological revolution and industrial transformation and to achieve high-quality development. Promoting the deep integration of artificial intelligence (AI) with the real economy and fostering the expansion of the intelligent industry have become important strategic pillars for accelerating the development of new quality productive forces and building new national competitive advantages. The key to the "AI Plus" initiative lies in utilizing clusters of cutting-edge and disruptive technologies as the core engine to comprehensively reshape the system of productive factors and stimulate new drivers of economic growth.


CGTN|梁正:“人工智能+”赋能新质生产力发展图3


AI technology itself is a core component of new quality productive forces. By promoting the synergistic leap forward of foundational elements such as models, computing power and data, it profoundly alters the internal structure and operational quality of traditional productive forces.


Currently, China leads the world in the number of large models, and the performance of its open-source models is also at the international forefront. However, in terms of computing power, facing the current situation of uneven distribution of intelligent computing resources and low levels of intensification, efforts should be made to promote the establishment of a nationally integrated computing power scheduling system, facilitating cross-regional coordination and efficient supply of computing resources. Regarding data, it is essential to focus on resolving issues such as varying data quality and significant circulation barriers, accelerate the systematic development of high-quality datasets, deploy trustful data spaces in an innovative manner, and ensure the security, circulation, and utilization of data factors. By consolidating the computing power foundation and optimizing the data ecosystem, the overall efficacy of AI in empowering the development of new quality productive forces can be systematically enhanced.


The full release of AI's powerful driving force for the development of new quality productive forces also critically depends on removing institutional and systemic barriers that constrain the development of intelligent technology. The science and technology governance system should be restructured with agile governance concepts, providing a dynamic and inclusive institutional environment for the rapid iteration of AI technology through flexible mechanisms such as regulatory sandboxes and classified, tiered approaches. Efforts should be accelerated to adapt and promote domestic software and hardware technology systems, using market demand to drive breakthroughs in underlying technologies, and constructing a development pattern where technology and industry mutually reinforce each other. Ultimately, the goal is to create an institutional system conducive to the emergence of original innovation and disruptive technological breakthroughs, transforming institutional advantages into tangible ones in empowering new quality productive forces with AI.


The deep integration of "AI Plus" ultimately manifests in the construction of a collaborative ecosystem and the formation of international leadership. The former means moving beyond the application of single technologies to promote the comprehensive penetration of AI into areas such as scientific research and development, industrial upgrading, public services, social governance and international cooperation. "AI Plus" should give rise to new business forms and models, building an ecosystem where technology, industry, and social value coexist symbiotically. The latter emphasizes gradually forming de facto norms with international influence through the provision of technology and standards, while actively participating in and leading global AI governance cooperation. Leveraging bilateral and multilateral mechanisms to promote capacity co-construction will help developing countries bridging the "digital divide" and contribute China's wisdom and solutions to the global intelligent economy.

(译文)“十五五”时期(2026—2030)是中国抢抓新一轮科技革命和产业变革战略机遇、实现高质量发展的关键阶段。推动人工智能与实体经济深度融合、培育壮大智能产业,已成为加快发展新质生产力、构建国家竞争新优势的重要战略支点。

“人工智能+”的核心,在于以集群式前沿颠覆性技术为引擎,对生产要素体系进行全方位重塑,从而激发经济增长的新动能。人工智能本身正是新质生产力的关键组成部分。通过模型、算力、数据等基础要素的协同跃升,AI 正在深刻改变传统生产力的内在结构与运行质量。
当前,中国在大模型数量上全球领先,开源模型的性能也处于国际前列。但在算力层面,仍面临智能算力资源分布不均、集约化水平不高等问题。为此,应着力构建全国一体化算力调度体系,实现跨区域的统筹协同与高效供给。在数据层面,则需重点解决数据质量参差不齐、流通壁垒突出等问题,加快系统化开发高质量数据集,创新部署可信数据空间,切实保障数据要素的安全流通与高效利用。通过夯实算力底座、优化数据生态,可系统提升 AI 赋能新质生产力的整体效能。
要进一步释放 AI 的强劲驱动力,还必须破除制约智能技术发展的体制机制障碍。应以敏捷治理理念重构科技治理体系,通过监管沙盒、分级分类等柔性机制,为 AI 技术的快速迭代提供动态包容的制度环境。同时,加快适配并壮大国产软硬件技术体系,以市场需求带动底层技术突破,构建技术与产业相互促进的发展格局。最终目标是形成有利于原始创新和颠覆性技术突破的制度体系,将制度优势切实转化为 AI 赋能新质生产力的现实优势。
“人工智能+”的深度融合,最终要体现在协同生态的构建与国际话语的塑造两个方面。前者意味着超越单点技术应用,推动 AI 全面渗透科研开发、产业升级、公共服务、社会治理、国际合作等领域,催生新业态、新模式,形成技术、产业与社会价值共生的生态体系。后者则强调通过技术供给与标准输出,逐步形成具有国际影响力的实事标准,同时积极参与并引领全球 AI 治理合作。依托双边与多边机制推动能力共建,帮助发展中国家弥合“数字鸿沟”,为全球智能经济发展贡献中国智慧与中国方案。


CGTN|梁正:“人工智能+”赋能新质生产力发展图4
CGTN|梁正:“人工智能+”赋能新质生产力发展图8


声明:内容取材于网络,仅代表作者观点,如有内容违规问题,请联系处理。 
人工智能
more
中关村(京西)人工智能科技园开园 京西添AI产业新地标
【AI治理周报·10月第三期】OpenAI与Broadcom签约开发首款定制AI处理器;中国生成式人工智能用户规模超 5 亿
紧跟人工智能浪潮,诺基亚业绩远超预期,股价创多年来新高 | 区势·AI
关于征集人工智能、先进制造与装备等领域“十五五”期间重大科技攻关需求的通知
股价飙升20%!刚刚,高通发布人工智能芯片!
站在长辈肩膀上的人工智能|重磅发布
我国生成式人工智能用户规模达5.15亿人
2025全球人工智能+大会将于11月15日至17日在京启幕
一图读懂|《广东省人工智能赋能制造业高质量发展行动方案(2025—2027年)》发布!
人工智能国际治理大讲堂第九期《由人工智能驱动的全球标准化新格局:MPAl的框架和多领域实践》成功举办
Copyright © 2025 成都区角科技有限公司
蜀ICP备2025143415号-1
  
川公网安备51015602001305号