对剩余价值源泉的再认识——基于人工智能时代的研究  

Revisiting the Source of Surplus Value:A Study in the Age of Artificial Intelligence

作　　者：张香坤 ZHANG Xiang-kun(Jilin University,Changchun,Jilin 130000)

机构地区：[1]吉林大学,吉林长春130000

出　　处：《江西电力职业技术学院学报》2024年第6期139-141,共3页Journal of Jiangxi Vocational and Technical College of Electricity

摘　　要：近年来,随着人工智能技术的发展和广泛应用,越来越多的人类劳动者不再直接参与商品生产过程,但剩余价值总量只升不降。据此,一些西方学者错误地认为马克思剩余价值论已经过时,并坚持“智能机器也能创造剩余价值”的观点。对此,论述了人工智能视域下剩余价值源泉的相关内容,分析了马克思剩余价值论面临的挑战,并探讨阐述了人工智能能否作为生产剩余价值的劳动者的观点,旨在加强对剩余价值源泉的再认识。With the development and widespread application of artificial intelligence (AI) technology,fewer human workers are directly involved in the production process,yet the total amount of surplus value continues to rise.Some Western scholars have incorrectly concluded that Marx's theory of surplus value is outdated and argue that intelligent machines can create surplus value.This paper examines the source of surplus value from the perspective of AI,analyzes the challenges faced by Marx's theory,and discusses whether AI can be considered a laborer capable of producing surplus value,aiming to deepen our understanding of the source of surplus value.

关 键 词：剩余价值源泉 人工智能 马克思剩余价值论 

分 类 号：TB18[一般工业技术]