Resolving Counterintuitive Consequences in Law Using Legal Debugging
Wachara FUNGWACHARAKORN, Kanae TSUSHIMA et Ken SATOH, « Resolving Counterintuitive Consequences in Law Using Legal Debugging », Artificial Intelligence and Law, (forthcoming).
Wachara FUNGWACHARAKORN, Kanae TSUSHIMA et Ken SATOH, « Resolving Counterintuitive Consequences in Law Using Legal Debugging », Artificial Intelligence and Law, (forthcoming).
There are cases in which the literal interpretation of statutes may lead to counterintuitive consequences. When such cases go to high courts, judges may handle these counterintuitive consequences by identifying problematic rule conditions. Given that the law consists of a large number of rule conditions, it is demanding and exhaustive to figure out which condition is problematic. For solving this problem, our work aims to assist judges in civil law systems to resolve counterintuitive consequences using logic program representation of statutes and Legal Debugging. The core principle of Legal Debugging is to cooperate with a user to find a culprit, a root cause of counterintuitive consequences. This article proposes an algorithm to resolve a culprit. Since the statutes are represented by logic rules but changes in law are initiated by cases, we adopt a prototypical case with judgement specified by a set of rules. Then, to resolve a culprit, we reconstruct a program so that it provides reasons as if we applied case-based reasoning to a new set of prototypical cases with judgement, which include a new set of facts relevant to a considering case.
Ce contenu a été mis à jour le 18 juillet 2024 à 14 h 37 min.