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  1. Vertical precedents in formal models of precedential constraint.Gabriel L. Broughton - 2019 - Artificial Intelligence and Law 27 (3):253-307.
    The standard model of precedential constraint holds that a court is equally free to modify a precedent of its own and a precedent of a superior court—overruling aside, it does not differentiate horizontal and vertical precedents. This paper shows that no model can capture the U.S. doctrine of precedent without making that distinction. A precise model is then developed that does just that. This requires situating precedent cases in a formal representation of a hierarchical legal structure, and adjusting the constraint (...)
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  • Administrative due process when using automated decision-making in public administration: some notes from a Finnish perspective.Markku Suksi - 2020 - Artificial Intelligence and Law 29 (1):87-110.
    Various due process provisions designed for use by civil servants in administrative decision-making may become redundant when automated decision-making is taken into use in public administration. Problems with mechanisms of good government, responsibility and liability for automated decisions and the rule of law require attention of the law-maker in adapting legal provisions to this new form of decision-making. Although the general data protection regulation of the European Union is important in acknowledging automated decision-making, most of the legal safeguards within administrative (...)
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  • HYPO's legacy: introduction to the virtual special issue.T. J. M. Bench-Capon - 2017 - Artificial Intelligence and Law 25 (2):205-250.
    This paper is an introduction to a virtual special issue of AI and Law exploring the legacy of the influential HYPO system of Rissland and Ashley. The papers included are: Arguments and cases: An inevitable intertwining, BankXX: Supporting legal arguments through heuristic retrieval, Modelling reasoning with precedents in a formal dialogue Game, A note on dimensions and factors, An empirical investigation of reasoning with legal cases through theory construction and application, Automatically classifying case texts and predicting outcomes, A factor-based definition (...)
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  • Explanation in AI and law: Past, present and future.Katie Atkinson, Trevor Bench-Capon & Danushka Bollegala - 2020 - Artificial Intelligence 289 (C):103387.
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  • Intermediate factors and precedential constraint.Trevor Bench-Capon - forthcoming - Artificial Intelligence and Law:1-20.
    This paper explores the extension of formal accounts of precedential constraint to make use of a factor hierarchy with intermediate factors. A problem arises, however, because constraints expressed in terms of intermediate factors may give different outcomes from those expressed only using base level factors. We argue that constraints that use only base level factors yield the correct outcomes, but that intermediate factors play an important role in the justification and explanation of those outcomes. The discussion is illustrated with a (...)
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  • Realizability of three-valued semantics for abstract dialectical frameworks.Jörg Pührer - 2020 - Artificial Intelligence 278 (C):103198.
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  • Noise induced hearing loss: Building an application using the ANGELIC methodology.Latifa Al-Abdulkarim, Katie Atkinson, Trevor Bench-Capon, Stuart Whittle, Rob Williams & Catriona Wolfenden - 2018 - Argument and Computation 10 (1):5-22.
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  • Explainable AI tools for legal reasoning about cases: A study on the European Court of Human Rights.Joe Collenette, Katie Atkinson & Trevor Bench-Capon - 2023 - Artificial Intelligence 317 (C):103861.
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