AIGC赋能新质生产力:逻辑展开、现实挑战与治理路径  

AIGC Empowering New Quality Productivity:Logical Expansion,Realistic Challenges and Governance Pathways

作　　者：华国庆[1,2] 江博成 HUA Guoqing;JIANG Bocheng(Anhui University,Hefei 230039,China)

机构地区：[1]安徽大学经济法制研究中心,安徽合肥230039 [2]安徽大学法学院,安徽合肥230039

出　　处：《通化师范学院学报》2025年第3期39-49,共11页Journal of Tonghua Normal University

摘　　要：作为当前科学技术创新的最前沿成果,以ChatGPT为代表的生成式人工智能,凭借海量数据及强算法,从多方面、多层次对新质生产力的发展起到促进作用,成为新质生产力的重要质态。然而,生成式人工智能在带来产业变革的同时,引发了一系列现实困境。基于其应用场景,可将这些困境划分为既有规范层面、数据污染层面和伦理秩序层面,以上困境致使赋能效应难以充分发挥。有鉴于此,亟需构建以法律为主轴,分级分类制度为补充,以人本主义伦理机制兜底的多元治理体系,推动生成式人工智能高效赋能新质生产力,加快新质生产力的培育与发展。As the technological cutting-edge innovation of the present era,Artificial Intelligence Generated Content(AIGC)represented by ChatGPT,with its vast data and strong algorithms,plays a multifaceted and multilevel role in promoting the development of new quality productivity,becoming an important quality of new quality productivity.However,while generating industrial transformation,AIGC has also led to a series of real-world challenges.Based on the application scenarios,these challenges can be categorized into regulatory,data pollution,and ethical order levels,hindering the full realization of the empowerment effect.In light of this,it is urgently necessary to build a multi-dimensional governance system centered on the law,supplemented by a hierarchical classification system and a humanistic ethical mechanism as a safeguard,to promote the efficient empowerment of AIGC in new quality productivity and accelerate the cultivation and development of new quality productivity.

关 键 词：生成式人工智能 新质生产力 治理 人工智能法 

分 类 号：F207[经济管理—国民经济]