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  1. The epistemology of scientific evidence.Douglas Walton & Nanning Zhang - 2013 - Artificial Intelligence and Law 21 (2):173-219.
    In place of the traditional epistemological view of knowledge as justified true belief we argue that artificial intelligence and law needs an evidence-based epistemology according to which scientific knowledge is based on critical analysis of evidence using argumentation. This new epistemology of scientific evidence (ESE) models scientific knowledge as achieved through a process of marshaling evidence in a scientific inquiry that results in a convergence of scientific theories and research results. We show how a dialogue interface of argument from expert (...)
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  • Knowledge, Individualised Evidence and Luck.Dario Mortini - 2022 - Philosophical Studies 179 (12):3791-3815.
    The notion of individualised evidence holds the key to solve the puzzle of statistical evidence, but there’s still no consensus on how exactly to define it. To make progress on the problem, epistemologists have proposed various accounts of individualised evidence in terms of causal or modal anti-luck conditions on knowledge like appropriate causation, sensitivity and safety. In this paper, I show that each of these fails as satisfactory anti-luck condition, and that such failure lends abductive support to the following conclusion: (...)
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  • Proof beyond a context-relevant doubt. A structural analysis of the standard of proof in criminal adjudication.Kyriakos N. Kotsoglou - 2020 - Artificial Intelligence and Law 28 (1):111-133.
    The present article proceeds from the mainstream view that the conceptual framework underpinning adversarial systems of criminal adjudication, i.e. a mixture of common-sense philosophy and probabilistic analysis, is unsustainable. In order to provide fact-finders with an operable structure of justification, we need to turn to epistemology once again. The article proceeds in three parts. First, I examine the structural features of justification and how various theories have attempted to overcome Agrippa’s trilemma. Second, I put Inferential Contextualism to the test and (...)
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  • Proof beyond a context-relevant doubt. A structural analysis of the standard of proof in criminal adjudication.Kyriakos N. Kotsoglou - 2020 - Artificial Intelligence and Law 28 (1):111-133.
    The present article proceeds from the mainstream view that the conceptual framework underpinning adversarial systems of criminal adjudication, i.e. a mixture of common-sense philosophy and probabilistic analysis, is unsustainable. In order to provide fact-finders with an operable structure of justification, we need to turn to epistemology once again. The article proceeds in three parts. First, I examine the structural features of justification and how various theories have attempted to overcome Agrippa’s trilemma. Second, I put Inferential Contextualism to the test and (...)
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  • Proof beyond a context-relevant doubt. A structural analysis of the standard of proof in criminal adjudication.Kyriakos N. Kotsoglou - 2020 - Artificial Intelligence and Law 28 (1):111-133.
    The present article proceeds from the mainstream view that the conceptual framework underpinning adversarial systems of criminal adjudication, i.e. a mixture of common-sense philosophy and probabilistic analysis, is unsustainable. In order to provide fact-finders with an operable structure of justification, we need to turn to epistemology once again. The article proceeds in three parts. First, I examine the structural features of justification and how various theories have attempted to overcome Agrippa’s trilemma. Second, I put Inferential Contextualism to the test and (...)
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  • Proof beyond a context-relevant doubt. A structural analysis of the standard of proof in criminal adjudication.Kyriakos N. Kotsoglou - 2020 - Artificial Intelligence and Law 28 (1):111-133.
    The present article proceeds from the mainstream view that the conceptual framework underpinning adversarial systems of criminal adjudication, i.e. a mixture of common-sense philosophy and probabilistic analysis, is unsustainable. In order to provide fact-finders with an operable structure of justification, we need to turn to epistemology once again. The article proceeds in three parts. First, I examine the structural features of justification and how various theories have attempted to overcome Agrippa’s trilemma. Second, I put Inferential Contextualism to the test and (...)
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  • Legal Probabilism: A Qualified Defence.Brian Hedden & Mark Colyvan - 2019 - Journal of Political Philosophy 27 (4):448-468.
    Journal of Political Philosophy, EarlyView.
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  • When statistical evidence is not specific enough.Marcello Di Bello - 2021 - Synthese 199 (5-6):12251-12269.
    Many philosophers have pointed out that statistical evidence, or at least some forms of it, lack desirable epistemic or non-epistemic properties, and that this should make us wary of litigations in which the case against the defendant rests in whole or in part on statistical evidence. Others have responded that such broad reservations about statistical evidence are overly restrictive since appellate courts have expressed nuanced views about statistical evidence. In an effort to clarify and reconcile, I put forward an interpretive (...)
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  • Naturalism in legal philosophy.Brian Leiter - 2008 - Stanford Encyclopedia of Philosophy.
    The “naturalistic turn” that has swept so many areas of philosophy over the past three decades has also had an impact in the last decade in legal philosophy. Methodological naturalists (M-naturalists) view philosophy as continuous with empirical inquiry in the sciences. Some M-naturalists want to replace conceptual and justificatory theories with empirical and descriptive theories; they take their inspiration from more-or-less Quinean arguments against conceptual analysis and foundationalist programs. Other M-naturalists retain the normative and regulative ambitions of traditional philosophy, but (...)
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