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Que-Lin Zeng

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Open access Aug 2026

Research on the Judicial Fairness Challenges and Legal Regulation of AI-Assisted Judgments in the Context of Digital Justice

This study investigates the fairness risks and regulatory mechanisms of AI-assisted judicial decision-making by establishing an integrated framework that combines algorithm interpretability, data governance, bias mitigation, and human–machine collaborative control.

Que-Lin Zeng · Advanced Electromagnetics · 0 citations