西安建筑科技大学学报(社会科学版)2024,Vol.43Issue(6) :10-18.DOI:10.15986/j.1008-7192.2024.06.002

基于马克思机器异化理论的人工智能发展审思

A Reflection on the Development of Artificial Intelligence Based on Marx's Theory of Machine Alienation

王一姣 曹培强
西安建筑科技大学学报(社会科学版)2024,Vol.43Issue(6) :10-18.DOI:10.15986/j.1008-7192.2024.06.002

基于马克思机器异化理论的人工智能发展审思

A Reflection on the Development of Artificial Intelligence Based on Marx's Theory of Machine Alienation

王一姣 1曹培强2
扫码查看

作者信息

  • 1. 中国石油大学(北京)马克思主义学院,北京 102249
  • 2. 中国石油大学(北京)马克思主义学院,北京 102249;中国石油大学(北京)马克思主义中国化研究中心,北京 102249
  • 折叠

摘要

从马克思资本批判逻辑视域下的机器异化理论出发考察,当代人工智能表现出提升生产效率,加速推进产业数字化;促进科技创新,大力推动数字产业化;助力知识普及,改善人的本质力量的实现条件等方面的正功能.同时新机器的资本主义应用也会产生就业问题、新型异化及意识形态风险等负功能.应当积极推动当代人工智能的社会主义应用,突破人工智能创新发展的关键技术;构建人工智能与实体经济结合发展新生态;促进劳动力与当代人工智能协同共生发展;构建符合人类价值观的超级对齐系统,推动人工智能的全球治理.

Abstract

From the perspective of the machine alienation theory of Marx's critical logic of capital,contemporary artificial intelligence has a positive function in terms of increasing production efficiency by accelerating industrial digitization,promoting scientific and technological innovation by vigorously facilitating digital industrialization,and contributing to the popularization of knowledge by improving the conditions for the realization of the essential power of human beings.At the same time,the capitalist application of neo-machines will also give rise to negative func-tions such as problems of employment,alienation of new types and risks in ideology.We should break through the key technologies for the innovative development of AI to actively promote the socialist application of modern AI,in-tegrate AI with the real economy to build a new ecology of development,promote the synergistic and symbiotic de-velopment with labor forces and modern AI,and establish a super-aligned system in line with human values to pro-mote the global governance of AI.

关键词

人工智能/机器/异化/数实融合

Key words

artificial intelligence/machines/alienation/integration of digital technology and real economy

引用本文复制引用

出版年

2024
西安建筑科技大学学报(社会科学版)
西安建筑科技大学

西安建筑科技大学学报(社会科学版)

CHSSCD
影响因子:0.262
ISSN:1008-7192
段落导航相关论文