Constructing the Knowledge Graph of Marxist Philosophy and Artificial Intelligence: A Path Research from Data Analysis to Theoretical Integration

With the rapid evolution of artificial intelligence technology, its ethical, social and philosophical implications have attracted growing attention. This paper examines the relevance of AI to core Marxist concepts of social production, class struggle and historical determinism. A knowledge graph that integrates Marxist philosophy and AI systematically illustrates how these theories influence AI development and application. By employing natural language processing and machine learning techniques, the paper uncovers AI’s roles across diverse social systems and introduces a dynamic ethical evaluation framework to guide the design of human-centered AI systems. The findings indicate that Marxist philosophical insights enrich theoretical understanding of AI’s social impact and encourage developers and policymakers to consider long-term effects on social equity and ethical decision making.

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Publication Details

Published
2025-05-29
DOI
https://doi.org/10.1109/icaide65466.2025.11189573
Primary Topic
Political Economy and Marxism
Type
article
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article

Constructing the Knowledge Graph of Marxist Philosophy and Artificial Intelligence: A Path Research from Data Analysis to Theoretical Integration

Shasha Wang, Xiying Zhang
Political Economy and Marxism
article

Constructing the Knowledge Graph of Marxist Philosophy and Artificial Intelligence: A Path Research from Data Analysis to Theoretical Integration

Shasha Wang, Xiying Zhang
article en

Abstract

With the rapid evolution of artificial intelligence technology, its ethical, social and philosophical implications have attracted growing attention. This paper examines the relevance of AI to core Marxist concepts of social production, class struggle and historical determinism. A knowledge graph that integrates Marxist philosophy and AI systematically illustrates how these theories influence AI development and application. By employing natural language processing and machine learning techniques, the paper uncovers AI’s roles across diverse social systems and introduces a dynamic ethical evaluation framework to guide the design of human-centered AI systems. The findings indicate that Marxist philosophical insights enrich theoretical understanding of AI’s social impact and encourage developers and policymakers to consider long-term effects on social equity and ethical decision making.

Openalex Percentile: Top 62%
Political Economy and Marxism
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