The Regulatory Route for Reflexivity Theory-Based Artificial Intelligence-Assisted Judicial Decision-Making

Authors

  • Decai He Nanjing University of Aeronautics and Astronautics

DOI:

https://doi.org/10.5281/zenodo.14280517

Keywords:

Inversion Theory, Autopoietic Theory,, Artificial Intelligence, Judicial Decision Making

Abstract

The rapid development of artificial intelligence technology has revolutionized the judicial field, improving the efficiency of case handling, standardizing the adjudication process, and enhancing the review of evidence. However, the problems of uneven quality of judicial data, judicial injustice caused by algorithmic black boxes, erosion of judges' discretionary power, and rigidity of the trial process have seriously affected the public's trust in AI judicial assistance. The theory of inversion and the theory of self-creation have jointly constructed a comprehensive regulatory framework for the co-governance of law and technology to ensure that law and technology maintain independence and autonomy in the interaction process, to prevent technological abuses, to promote the in-depth integration of AI and the judicial system, and to safeguard judicial impartiality and systemic authority.

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References

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Published

2024-12-05

How to Cite

He, D. (2024). The Regulatory Route for Reflexivity Theory-Based Artificial Intelligence-Assisted Judicial Decision-Making. Journal of Current Social Issues Studies, 1(1), 86–100. https://doi.org/10.5281/zenodo.14280517

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Section

Articles