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The Inherent Logic and Optimization Path of Embedding Adaptive Response Algorithms in Labor Dispute Governance

In: Proceedings of the 2026 11th International Conference on Social Sciences and Economic Development (ICSSED 2026)

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  • Jiacheng Qi

    (East China Normal University)

Abstract

This paper analyzes the inherent logic of embedding adaptive response algorithms into labor dispute governance, pointing out that it promotes a paradigm shift from rigid efficiency to intrinsic compliance, from lagging regulation to agile collaboration, and from workers to co-builders. The study finds that current governance practices still face real dilemmas such as data barriers and algorithmic biases under platform dominance, ambiguity in responsibility caused by algorithmic black boxes, and hidden exploitation concealed by efficiency miraculous effects. This paper proposes constructing a visualized and explainable algorithmic system, improving a multi-party collaborative digital governance framework, and adhering to the core principles of “people-centeredness” and “human-in-the-loop,” thereby resolving digital injustice through technological architecture reshaping and power structure checks and balances.

Suggested Citation

  • Jiacheng Qi, 2026. "The Inherent Logic and Optimization Path of Embedding Adaptive Response Algorithms in Labor Dispute Governance," Advances in Economics, Business and Management Research, in: Joanna Rak & Md Rabiul Islam & Noralina Omar & Dragana Ostic (ed.), Proceedings of the 2026 11th International Conference on Social Sciences and Economic Development (ICSSED 2026), pages 933-939, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-701-9_95
    DOI: 10.2991/978-94-6239-701-9_95
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