A Marxist Value Theory Driven Value Assessment Model for Artificial Intelligence Data Mining

DOI

10.2991/978-2-38476-452-5_20How to use a DOI?

Keywords

marxist theory of value; artificial intelligence; data mining; value assessment models; labour theory of value; market volatility

Abstract

This study examines the influence and contribution of Marxist Value Theory (MVT) to value assessment models in Artificial Intelligence (AI)-driven Data Mining. Through an in-depth analysis of the basic elements of Marxist Value Theory, the application of the production, exchange and use of value in the modern economy is identified, and its significance in guiding Data Mining techniques is highlighted. On this basis, combining the basic concepts and processes of data mining, it proposes how artificial intelligence can optimise the data processing process and reveal the potential value. This study deepens the comprehensive analysis of the relationship between the two, constructs a theoretical framework for value assessment based on the Marxist theory of value, and reveals the transformative impact and new challenges of AI technology on the traditional way of value assessment. Combined with practical cases, it proves the applicability and effectiveness of the constructed model in different fields, and demonstrates the way and prospect of data-driven value presentation. However, a series of challenges have been encountered during the implementation of the model, including issues of data quality, ethics and technology maturity. This study not only provides a new perspective for the cross-study of AI and social sciences, but also lays a theoretical foundation for the construction of a dynamic and accurate value assessment model, highlights the importance and practical significance of the Marxist theory of value in the field of modern science and technology, and demonstrates its potential application in guiding economic decision-making and social development.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Danqing Xu
AU  - Ping Wang
AU  - Lequn Li
AU  - Zexi Zhou
PY  - 2025
DA  - 2025/07/31
TI  - A Marxist Value Theory Driven Value Assessment Model for Artificial Intelligence Data Mining
BT  - Proceedings of the 2025 4th International Conference on Science Education and Art Appreciation (SEAA 2025)
PB  - Atlantis Press
SP  - 157
EP  - 164
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-452-5_20
DO  - 10.2991/978-2-38476-452-5_20
ID  - Xu2025
ER  -