Artificial Intelligence Risks and Algorithmic Regulation
Pedro Rubim Borges Fortes, Pablo Marcello Baquero, David Restrepo Amariles
Abstract
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.
Topics & Concepts
Order (exchange)Domain (mathematical analysis)Computer scienceArtificial intelligenceManagement sciencePolitical scienceRisk analysis (engineering)PsychologyBusinessEngineeringMathematicsFinanceMathematical analysisLaw, AI, and Intellectual PropertyEthics and Social Impacts of AIDigital Transformation in Law