Artificial Intelligence and Law 21 (2):173-219 (2013)

Douglas Walton
University of Windsor
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 opinion, along with its set of critical questions, provides the argumentation component of the ESE. It enables internal scientific knowledge to be translated over into a wider arena in which individual nonexpert citizens and groups can make use of it. The external component shows how evidence is presented and used in a legal procedural setting that includes fact-finding, weighing the credibility of expert witnesses, and critical questioning of arguments. The paper critically reviews the standards of admissibility of scientific evidence using the ESE
Keywords Scientific evidence  Evidentialist epistemology  Argumentation  Expert opinion testimony  Standards of admissibility
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DOI 10.1007/s10506-012-9132-9
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References found in this work BETA

Objective Knowledge.Karl Raimund Popper - 1972 - Oxford, Clarendon Press.

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On a Razor's Edge: Evaluating Arguments From Expert Opinion.Douglas Walton - 2014 - Argument and Computation 5 (2-3):139-159.

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