University of Pittsburgh

Generating Purposive Legal Arguments for Trade Secret Law Cases

ISP Graduate Student
Date: 
Friday, March 20, 2015 - 12:30pm - 1:30pm

In modeling legal reasoning using artificial intelligence and formal argumentation techniques, the domain representation should enable systems to exercise a deeper understanding of legal knowledge through a conception of values. Why do different facts in cases warrant different outcomes? How does one model argumentation about the impact of factual differences in light of the purposes underlying legal rules? This talk will give an overview of current existing modeling approaches that take into account these values and present the state of a work-in-progress implementation of the recently developed value judgment formalism. The system models intelligent arguments about legal cases in terms of context-sensitive tradeoffs between factual effects on legally relevant values in trade secret law cases and their interplay with applicable legal rules.

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