Artificial Intelligence and Law 21 (2):173-219 (2013)
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|
|Categories||categorize this paper)|
References found in this work BETA
Citations of this work BETA
No citations found.
Similar books and articles
WINO Epistemology and the Shifting-Sands Problem.Chris Zarpentine, Heather Cipolletti & Michael Bishop - 2012 - The Monist 95 (2):308-328.
The Epistemology of Evidence in Cognitive Neuroscience.William P. Bechtel - forthcoming - In R. Skipper Jr, C. Allen, R. A. Ankeny, C. F. Craver, L. Darden, G. Mikkelson & and R. Richardson (eds.), Philosophy and the Life Sciences: A Reader. MIT Press.
Internalist and Externalist Aspects of Justification in Scientific Inquiry.Kent Staley & Aaron Cobb - 2011 - Synthese 182 (3):475-492.
Evidence, Proof, and Facts: A Book of Sources.Peter Murphy (ed.) - 2003 - New York ;Oxford University Press.
Evidence of evidence and testimonial reductionism.William Rowley - 2012 - Episteme 9 (4):377-391.
The Integrity of Science: What It Means, Why It Matters.Susan Haack - 2007 - Contrastes: Revista Interdisciplinar de Filosofía:5-26.
Modeling Scientific Evidence: The Challenge of Specifying Likelihoods.Patrick Forber - 2012 - In Henk W. de Regt (ed.), Epsa Philosophy of Science: Amsterdam 2009. Springer. pp. 55--65.
Added to index2012-12-28
Total downloads29 ( #169,661 of 2,143,797 )
Recent downloads (6 months)7 ( #107,299 of 2,143,797 )
How can I increase my downloads?
There are no threads in this forum
Nothing in this forum yet.