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Access to technology, access to justice: China’s artificial intelligence application in criminal proceedings

Wanqiang Wu & Xifen Lin

International Journal of Law, Crime and Justice2025https://doi.org/10.1016/j.ijlcj.2025.100741article
AJG 1
Weight
0.53

What the paper says

This article investigates Shanghai's “206” system, recognized as China's leading AI-assisted criminal case handling system, through an analysis of three distinct implementation scenarios in judicial processes. The study explores the role of artificial intelligence in assisting prosecutors and judges across various stages of criminal proceedings , highlighting both the advancements achieved and the limitations encountered. The research identifies critical challenges concerning system utilisation, the accuracy of outputs, and the transparency of underlying algorithms. Furthermore, the findings reveal three significant concerns: the AI system may inadvertently strengthen anchoring effects , compress procedural participation of defendants, and encourage accountability avoidance among judicial officers. Despite these challenges, this article argues that carefully designed judicial procedures can effectively mitigate associated risks while maximizing AI's benefits to criminal proceedings. This analysis contributes to the broader discourse of AI integration in judicial systems and offers practical insights for future implementations.

8 citations

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https://doi.org/https://doi.org/10.1016/j.ijlcj.2025.100741

Or copy a formatted citation

@article{wanqiang2025,
  title        = {{Access to technology, access to justice: China’s artificial intelligence application in criminal proceedings}},
  author       = {Wanqiang Wu & Xifen Lin},
  journal      = {International Journal of Law, Crime and Justice},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1016/j.ijlcj.2025.100741},
}

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Access to technology, access to justice: China’s artificial intelligence application in criminal proceedings

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Evidence weight

0.53

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.70 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.