生成式AI何以赋能新质生产力发展?  

How Can Generative AI Enable the Development of New Quality Productive Forces?

作　　者：黄明涛 HUANG Mingtao

机构地区：[1]黔南民族师范学院马克思主义学院,贵州558000

出　　处：《中国西部》2025年第1期100-110,共11页Western China

基　　金：贵州省高校人文社会科学研究项目“贵州乡村旅游与体育赛事融合发展研究”(2024RW127)。

摘　　要：生成式AI与新质生产力对高效、智能和创新的内在要求高度契合。技术创新、数据资源、应用场景拓展、政策支持以及国际竞争等是生成式AI赋能新质生产力过程中的现实基础。当前,生成式AI赋能新质生产力发展面临技术安全可靠性、数据资源管理、科技伦理、立法监管以及社会冲击等诸多挑战。以生成式AI赋能新质生产力发展,需要持续进行科技与研发创新,优化数据资源管理与利用,强化产业融合与协同发展,完善各级政策支持与引导,加强人才和科研团队建设,提升社会公众认知与接受度,建立国际合作与交流机制,构建风险防控与监管体系。Generative AI is highly compatible with new quality productive forces’inherent requirements for efficiency,intelligence and innovation.Technological innovation,data resources,application scenario expansion,policy support and international competition are the realistic basis of generative AI to enable new quality productive forces.At present,generative AI enabling the development of new quality productive forces faces many challenges and problems,such as technical safety and reliability,data resource management,scientific and technological ethics,legislative supervision and social impact.To accelerate the development of new quality productive forces enabled by generative AI,it is necessary to carry out continuous scientific and technological innovation,optimize the management and utilization of data resources,strengthen industrial integration and collaborative development,improve policy support and guidance,strengthen the construction of talents and scientific research teams,enhance public awareness and acceptance,establish international cooperation and exchange mechanisms,and build risk prevention and control systems.

关 键 词：生成式AI 人工智能 新质生产力 数据资源 

分 类 号：F49[经济管理—产业经济] F124.3