摘要
生成式人工智能(GAI)助力乡村振兴是实现中国式现代化的重要路径。生成式人工智能具有智能生成、数据驱动、自主学习的特征,为乡村振兴提供了多维度的核心驱动力。从内在逻辑来看,生成式人工智能通过推动乡村产业智能化、重构人力资本、激活乡土文化基因、驱动绿色产业发展与创新治理模式助力乡村产业、人才、文化、生态、治理的全面振兴。然而,在我国乡村振兴过程中存在数字基建薄弱、人才结构失衡、政策执行偏差等现实困境。本文构建“技术-制度-文化”协同创新体系,重点推进包括数字基建升级、分层人才体系培育、治理体系与协同机制完善以及文化传承机制创新等路径的实现,从而推动生成式人工智能技术与乡村社会、经济、文化系统的深度融合,充分释放生成式人工智能的普惠价值,为加快实现农业农村现代化与共同富裕目标提供可持续的数字动能。
Generative Artificial Intelligence empowering rural revitalization constitutes a critical pathway to Chinese modernization.Characterized by intelligent content generation,data-driven decision-making,and autonomous learning capabilities,generative AI provides multidimensional core impetus for rural revitalization.From an inherent logical perspective,it facilitates the comprehensive revitalization of rural industries,talents,culture,ecology,and govemance by advancing the intelligent transformation of rural industries,reconstructing human capital,activating the cultural genetic code of rural communities,and driving the development of green industries alongside innovative governance models.However,the current process of leveraging generative Al for rural revitalization faces practical challenges,including weak digital infrastructure,imbalanced talent structures,and deviations in policy implementation.In terms of implementation pathways,future efforts should focus on a collaborative innovation system integrating"technology-institution-culture."Key priorities include upgrading digital infrastructure,cultivating a hierarchical talent system,refining compliant goverance frameworks,and innovating mechanisms for cultural inheritance.These measures aim to promote the deep integration of Al technology with rural social,economic,and cultural systems,fully unlock the inclusive value of generative Al,and provide sustainable digital power to accelerate agricultural and rural modemization and achieve common prosperity.
作者
王凤
韩智颖
任宪静
WANG Feng;HAN Zhiying;REN Xianjing
出处
《南京工业大学学报(社会科学版)》
2025年第4期140-150,187,共12页
Journal of Nanjing Tech University(Social Science Edition)
基金
国家社会科学基金重大项目“协同推进绿色低碳消费的体制机制和政策创新研究"(23&ZD096)
