Labor Alienation and Marxist Justice in the AI Era: A Theoretical Response

劳动异化与正义重构：人工智能时代马克思正义思想的回应

The rapid development of artificial intelligence technology has profoundly reshaped labor relations and production models, posing novel challenges to the traditional conception of justice.In the Marxist Theory of Justice framework, the weakening of labor subjectivity, imbalance in wealth distribution, and labor alienation have emerged as the core issues, reflecting the profound impact of the logic of capital on the application of technology. To achieve a harmonious balance between technological advancement and social justice, it is imperative to recalibrate production relations, enhance the efficiency of distribution mechanisms, and promote the dissemination of technology to the public.The reinstatement of labor subjectivity, the promotion of equitable distribution mechanisms, and the fortification of ethical norms are pivotal in addressing the conundrum of labor justice.The collaborative integration of institutional innovation, technological norms, and the professional development of workers will serve as the foundation for establishing a equitable and just societal framework.

人工智能技术的迅猛发展深刻重塑了劳动关系和生产模式，对传统正义观念构成新的挑战。在马克思正义思想框架下，劳动主体性弱化、财富分配失衡与劳动异化成为核心问题，反映出资本逻辑对技术应用的深层影响。为实现技术进步与社会正义的统一，需要调整生产关系、优化分配机制和推进技术公共化。重申劳动主体性、推进分配机制公平化和加强伦理规范，是解决劳动正义困境的关键。制度创新、技术规范与劳动者技能提升的协同作用，将为构建公平、公正的社会形态提供基础。