人工智能与行政司法:法国预测性司法分析

Q3 Social Sciences Hasanuddin Law Review Pub Date : 2024-07-02 DOI:10.20956/halrev.v10i2.5541
Zouhaier Nouri, Walid Ben Salah, Nayel Al Omrane
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引用次数: 0

摘要

本文批判性地分析了法国行政司法系统采用预测分析法的伦理和法律影响。文章提出了一个关键问题:尽管存在相关风险、伦理困境和法律挑战,但考虑到人工智能的潜在益处,将其纳入行政司法系统是否明智?研究采用了一种基于广泛文献综述的方法,对法国行政司法采用预测分析工具的情况进行了定性分析,并对这些工具带来的好处和问题进行了批判性评估。研究发现,人工智能可以提高行政司法系统的效率,减少积压案件,提高司法判决的一致性和可预测性。不过,研究也发现了将人工智能工具融入司法系统的重要风险以及严重的伦理和法律问题。特别是,人工智能的使用可能导致司法的非人性化,并对司法的独立性和公正性构成真正的风险。虽然人工智能可以为行政司法系统的所有利益相关者带来巨大利益,但必须谨慎对待人工智能的整合。有必要对采用人工智能采取渐进和负责任的方法,以避免损害司法廉正和维护基本司法价值观。
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Artificial Intelligence and Administrative Justice: An Analysis of Predictive Justice in France
This article critically analyzes the ethical and legal implications of adopting predictive analytics by the French administrative justice system. It raises a key question: Is it wise to integrate artificial intelligence into the administrative justice system, considering its potential benefits, despite the associated risks, ethical dilemmas, and legal challenges? The research employs a method based on an extensive literature review, a qualitative analysis of the adoption by the French administrative justice of predictive analytics tools, and a critical evaluation of the benefits and issues these tools bring. The study finds that AI can make the administrative justice system more efficient, reduce backlogs, and enhance the consistency and predictability of judicial decisions. However, the study also identifies important risks and serious ethical and legal issues associated with integrating AI tools into the justice system. Especially, AI utilization can lead to the dehumanization of justice and poses real risks to the independence and impartiality of justice. While AI can offer significant benefits to all the stakeholders of the administrative justice system, its integration must be approached with caution. A progressive and responsible approach to AI adoption is necessary to avoid compromising judicial integrity and upholding fundamental justice values. 
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来源期刊
Hasanuddin Law Review
Hasanuddin Law Review Social Sciences-Law
CiteScore
1.60
自引率
0.00%
发文量
12
审稿时长
12 weeks
期刊最新文献
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