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Artificial Intelligence Risks and Algorithmic Regulation

Authors :
Fortes, Pedro Rubim Borges
Baquero, Pablo Marcello
Restrepo Amariles, David
Fortes, Pedro Rubim Borges
Baquero, Pablo Marcello
Restrepo Amariles, David
Source :
European journal of risk regulation, 13 (3
Publication Year :
2022

Abstract

In this editorial article, we aim to map out the central features of algorithmic regulation and its conceptual basis – seeking to bring together different strands of the literature relating to the topic that have often remained apart. We then reflect on the ways through which algorithmic law could evolve to address the challenges of artificial intelligence in the legal domain, particularly by examining the potential of applying a “prudential” test in order to determine whether automated decision-making systems are suitable to adequately support legal decision-making.<br />info:eu-repo/semantics/published

Details

Database :
OAIster
Journal :
European journal of risk regulation, 13 (3
Notes :
1 full-text file(s): application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1373811433
Document Type :
Electronic Resource