摘要
随着传统生产力逐渐显现其局限性,依托技术创新、智能化和绿色发展的新质生产力成为推动经济高质量发展的关键。在当前数字化背景下,探讨生成式人工智能技术如何促进新质生产力发展显得尤为重要。本文在分析生成式人工智能和新质生产力特点的基础上,运用技术决定论和系统创新理论,对生成式人工智能促进新质生产力发展的理论逻辑进行分析。具体而言,生成式人工智能以跨模态组织学习促进技术创新驱动,以跨领域提质增效保障高效能和高质量发展;以跨阶段长远发展实现绿色环保和可持续发展。从“政府治理”角度出发,提出生成式人工智能促进新质生产力发展的实现路径:算法驱动创新,优化资源配置;知识赋能主体,提升决策能力;人机协同并进,推动产业升级;完善治理制度,优化发展环境。
As traditional productive forces increasingly reveal their limitations,new-quality productive forces—driven by technological innovation,intelligence,and green development-have become a key engine for promoting high-quality economic growth.In the context of accelerating digitalization,it is particularly important to explore how generative artificial intelligence(GAI)can foster the development of these emerging productive forces.Based on an analysis of the characteristics of both GAI and new-quality productive forces,this study employs technological determinism and systems innovation theory to examine the theoretical logic underlying the role of GAI in advancing new-quality productive forces.Specifically,GAI fosters technological innovation through cross-modal organizational learning,ensures high efficiency and quality through cross-domain value enhancement,and promotes environmental sustainability through long-term,cross-phase development.From the perspective of governance,the paper proposes concrete pathways for GAI to enhance new-quality productive forces:algorithm-driven innovation to optimize resource allocation;knowledge empowerment to improve decision-making cap acity;human–machine collaboration to drive industrial upgrading;and institutional refinement to improve the development environment.
作者
王薇
程曼曼
WANG Wei;CHENG Manman(School of Public Administration and Law,Hunan Agricultural University,Changsha 410000)
出处
《价格理论与实践》
北大核心
2025年第2期81-84,241,共5页
Price:Theory & Practice
基金
2024年湖南省研究生科研创新项目“农业社会化服务对乡村治理结构的影响研究”(编号:LXBZZ2024147)
关键词
生成式人工智能技术
新质生产力
智能算法
技术创新
generative artificial intelligence
new-quality productive forces
intelligent algorithms
technological innovation
