Research on the Implicit Intervention Mechanisms and Collaborative Governance of AI Algorithmic Bias in the Integration of Ideological and Political Education Across Universities, Secondary, and Primary Schools

DOI

10.2991/978-2-38476-456-3_19How to use a DOI?

Keywords

Artificial intelligence; Integration of ideological and political courses; Algorithmic bias; Hidden intervention; Collaborative governance

Abstract

Artificial intelligence algorithm bias impacts the integrated system of ideological and political education in universities, primary and secondary schools through the triple mechanism of data source distortion, modeling fuzziness and system closed-loop discrimination. Erosion target consistency, synergy and effectiveness. Based on the Marxist view of science and technology and the theory of educational ecology, It reveals the internal logic of the framework of “five-dimensional whole-person education”. Governance path needs to build a system-technology-subject collaborative framework: to establish a dynamic data calibration mechanism to eliminate historical bias, Implement algorithm life-cycle supervision to constrain technical power, develop special detection tools to enhance transparency, And through the multi-agent cooperation network balance tool rationality and value rationality. The framework aims to solve the reconstruction risk of the algorithm to the educational value coordinate, and maintain the ideological security and educational fairness. To ensure that the integration system of ideological and political education in the digital age adheres to the fundamental task of “establishing morality and cultivating people”, and provides a technical governance paradigm for the modernization of education.

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  - Yan Shen
AU  - Yuanpeng Duan
PY  - 2025
DA  - 2025/08/25
TI  - Research on the Implicit Intervention Mechanisms and Collaborative Governance of AI Algorithmic Bias in the Integration of Ideological and Political Education Across Universities, Secondary, and Primary Schools
BT  - Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025)
PB  - Atlantis Press
SP  - 163
EP  - 171
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-456-3_19
DO  - 10.2991/978-2-38476-456-3_19
ID  - Shen2025
ER  -