Governance Studies ›› 2022, Vol. 38 ›› Issue (4): 108-122.
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Yang Yanchao
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Abstract:
Judgment is an important part of intelligent social governance.There are two theories about whether artificial intelligence is applicable to judicial judgment and whether it can further strengthen fairness and justice.To grasp the causes of the problem and find solutions, we conducted a series of experiments to evidence review, legal fact determination, and legal application.The theoretical system of intelligent adjudication has been constructed; it includes the theory of computational justice, the theory of machine jurisdiction, and the theory of algorithmic arguability.The theory of computational justice emphasizes the value of algorithms in promoting judicial justice.The theory of machine jurisdiction emphasizes that judgment shall be controlled by human judges but assisted by machines.The theory of algorithmic arguability focuses on the review and questioning of the algorithms in use, which provides effective protection for the rights of the parties.This paper describes the future of intelligent judgment: its transformation from digital to intelligent, the collaboration between judges and algorithmic models, and the construction of an algorithmic model review system.
Key words: artificial intelligence, judgment, algorithm, data, experiment
CLC Number:
D926.2
TP18
Yang Yanchao. The Theoretical Construction and Path Selection of Algorithmic Judgment——Enlightenment through Artificial Intelligence Experiments[J]. Governance Studies, 2022, 38(4): 108-122.
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URL: http://journal08.magtech.org.cn/Jwk3_zlyj/EN/
http://journal08.magtech.org.cn/Jwk3_zlyj/EN/Y2022/V38/I4/108