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Governance Studies ›› 2023, Vol. 39 ›› Issue (3): 130-142.

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Understanding the Basic Dimension of Social Justice Risk in Artificial Intelligence——Analysis Path Based on Marx's Viewpoint of Distributive Justice

Qi Guang, Zhang Meng   

  • Received:2023-01-03 Online:2023-05-15 Published:2023-06-05

Abstract:

The rapid development and wide application of artificial intelligence has brought great social wealth, but it has also hidden the inevitable risk of distributive justice. As a basic theory of analysis, Marx's viewpoint of distributive justice is a common logic paradigm for different understanding and analysis. Based on criticizing and deconstructing the capitalist mode of production, Marx constructed the distributive justice viewpoint, which has production justice as its fundamental premise, labor equality as its value stipulation, and the promotion of freedom and comprehensive development of human beings as its practical purpose. In this theoretical framework, the essential problem of artificial intelligence and distributive justice lies in the ‘Wealth Distribution Paradox’, which is rooted in the capitalist application of artificial intelligence and manifested as the continuous intensification of productive injustice, labor inequality, and the complete loss of human essence. Therefore, the exclusive way to reverse this contradiction is to thoroughly criticize and jump out of the logic of capital when the new ethical risk of artificial intelligence is presented. Only in this way can the real social application of artificial intelligence be realized and the formal system of distribution be transformed into the substantial presentation of creation.

Key words: artificial intelligence, social justice risk, Marx's viewpoint of distributive justice

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