文献类型：期刊文献

中文题名：人工智能赋能新质生产力的研究综述与展望——基于马克思主义唯物史观的视角

英文题名：A review and outlook on artificial intelligence empowering new quality productivity:from the perspective of Marxist historical materialism

作者：曹望华[1];辜振琳[1]

机构：[1]广东海洋大学马克思主义学院,广东湛江524088

年份：2025

卷号：24

期号：4

起止页码：406

中文期刊名：浙江工业大学学报(社会科学版)

外文期刊名：Journal of Zhejiang University of Technology:Social Sciences

基金：广东省教育科学规划德育专项(2023JKDY023);广东省哲学社会科学规划学科共建项目(GD23XXY06)。

语种：中文

中文关键词：人工智能;新质生产力;高质量发展;唯物史观

外文关键词：artificial intelligence;new quality productivity;high-quality development;historical materialism

中文摘要：人工智能作为新质生产力发展的重要引擎,正深刻引领我国经济社会的转型升级。在马克思主义唯物史观的视角下,生产力是推动人类社会进步的核心驱动力,而科学技术则是这一驱动力中的关键要素。因此,学界围绕着人工智能赋能新质生产力的内在逻辑、运行机制、所面临的挑战及相关解决途径等方面展开了广泛的研究。然而,人工智能赋能新质生产力是一个复杂且动态发展的研究议题,随着技术的发展和深入,其内涵和外延在不断地拓展。未来,研究者应从宏观和整体的视角出发,通过多学科与马克思主义理论相结合来推动构建人工智能赋能新质生产力的逻辑框架研究,深入实际剖析其运行机制及在赋能过程中所面临的新问题和挑战,同时,应进一步结合传统产业的发展特点深化对人工智能赋能传统产业具体路径的研究。

外文摘要：As the core engine for the development of new quality productivity,artificial intelligence is profoundly leading the transformation and upgrading of China's economy and society.From the perspective of Marxist historical materialism,productivity is the core driving force for the progress of human society,and science and technology are the key elements within it.Therefore,the academic community has conducted extensive research on the internal logic framework,operational mechanisms,challenges,and potential solutions related to artificial intelligence's empowerment of new quality productivity.However,the issue of artificial intelligence empowering new quality productivity is a complex and dynamically developing research topic.With the advancement and deepening of technology,its connotations and extensions are constantly expanding.In the future,researchers should promote,from a macro and holistic perspective,the construction of a logical framework of artificial intelligence empowering new quality productivity by combining multiple disciplines with Marxist theory.They should also delve into the actual situations to analyze operational mechanisms and the new problems and challenges encountered in the empowerment process.Furthermore,they should deepen the research on the specific pathways for empowering traditional industries with artificial intelligence,taking into account the development characteristics of traditional industries.