Out of their minds: Legal theory in neural networks [Book Review]

Artificial Intelligence and Law 7 (2-3):129-151 (1999)
Abstract
This paper examines the use of connectionism (neural networks) in modelling legal reasoning. I discuss how the implementations of neural networks have failed to account for legal theoretical perspectives on adjudication. I criticise the use of neural networks in law, not because connectionism is inherently unsuitable in law, but rather because it has been done so poorly to date. The paper reviews a number of legal theories which provide a grounding for the use of neural networks in law. It then examines some implementations undertaken in law and criticises their legal theoretical naïvete. It then presents a lessons from the implementations which researchers must bear in mind if they wish to build neural networks which are justified by legal theories.
Keywords connectionism  legal philosophy  legal theory  neural networks
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DOI 10.1023/A:1008301122056
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