Safeguarding the Right to an Effective Remedy in Algorithmic Multi-Governance Systems: An Inquiry in Artificial Intelligence-Powered Informational Cooperation in the EU Administrative Space

Jan Benjamin
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Abstract

This paper focuses on the right to an effective remedy in the public sector when algorithms are used to support decision-making processes. More particularly, the focus will be on how the effectiveness of judicial review can be ensured in such contexts. This paper questions whether effective judicial review is possible where recommender systems are deployed in a multi-governance system such as the EU administrative space. Since assessing the effectiveness of judicial review requires a caseby-case analysis, the possible deployment of recommender systems in the EU administrative space, regarding informational cooperation, will serve as a case study. Today, informational cooperation understood in the context of composite procedures is widely used and has evolved from information requests, from one national administration to another, to shared databases and IT systems used as platforms to exchange information. It is assumed hereafter that the next evolution to these databases and IT systems is the deployment of recommender systems. If these recommender systems are starting to be deployed, compliance of their use with the procedural dimension of the rule of law and, more particularly, the right to an effective remedy must be complied with.
算法多元治理体系中有效救济权的保障:欧盟行政空间中人工智能驱动的信息合作探究
本文侧重于在使用算法支持决策过程时,公共部门获得有效补救的权利。更具体地说,重点将是如何在这种情况下确保司法审查的有效性。本文质疑在欧盟行政空间等多元治理体系中部署推荐系统是否可能实现有效的司法审查。由于评估司法审查的有效性需要逐案分析,因此在欧盟行政领域就信息合作部署推荐系统的可能性将作为一项个案研究。今天,在复合程序的背景下理解的信息合作得到了广泛的应用,并已从一个国家行政部门向另一个国家行政部门提出信息请求,发展到作为交换信息平台的共享数据库和信息技术系统。我们假定这些数据库和It系统的下一个演进是推荐系统的部署。如果开始部署这些建议系统,则必须遵守其使用符合法治的程序层面,特别是遵守获得有效补救的权利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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