重庆理工大学学报2025，Vol.39Issue(24)：107-118,12.DOI:10.3969/j.issn.1674-8425(s).2025.12.009
生成式人工智能赋能新质生产力的运行机制、潜在风险与防范路径
The operational mechanism,potential risks,and prevention paths of generative artificial intelligence empowering new productive forces
摘要
Abstract
Generative artificial intelligence(GAI)represents a fronter development of digital age.In this era,as a key driving force of new quality productivity,generative artificial intelligence continuously reshapes production factors,and give rise to distinctive operational mechanisms.On the one hand,it transforms value realization pathways,foster innovative ecosystems,and support technology leapfrogging and risk management,thereby driving cutting-edge technological innovation through its strong creative capacity;on the other hand,it facilitates factor circulation,construct flexible process systems,dynamically shapes industrial integration networks,and promote industrial coordination and covergence through deep adaptability.Moreover,it can also reconstruct the value dimension,transform factor combination modes,and enable precise allocation,thus optimizing the configuration of production factors with a high degree of intelligence.However,empowering new quality productivity with generative artificial intelligence still faces significant potential risks at the technical,security,legal,and ethical levels.These risks stem from instability and vulnerability of existing technologies,prominent challenges related to data security protection and personal privacy leakage,the ambiguity surrounding legal liability for GAI,as well as technical and structural ethical dilemmas.Accordingly,it is imperative to accelerate the innovation and research and development of core technologies,establish a comprehensive security risk early-warning and regulatory mechanisms,clarify the legal rights and responsibilities of generative artificial intelligence through the improvement of relevant laws and regulations,and form a diverse and collaborative AI prevention and control ecosystem.关键词
生成式人工智能/运行机制/新质生产力/潜在风险/防范路径Key words
generative artificial intelligence/operation mechanism/new quality productivity/potential risk/prevention path分类
管理科学引用本文复制引用
刘东意,孟献丽..生成式人工智能赋能新质生产力的运行机制、潜在风险与防范路径[J].重庆理工大学学报,2025,39(24):107-118,12.基金项目
国家社会科学基金后期资助暨优秀博士论文出版一般项目"挑战与对策:全球化进程中的中国文化安全研究"(23FKSB002) （23FKSB002）
