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dc.contributor.authorLIEPIŅA, Rūta
dc.contributor.authorSARTOR, Giovanni
dc.contributor.authorWYNER, Adam
dc.date.accessioned2024-02-29T08:26:24Z
dc.date.available2024-02-29T08:26:24Z
dc.date.issued2019
dc.identifier.citationICAIL '19 : proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, New York : Association for Computing Machinery, 2019, pp. 214-218en
dc.identifier.isbn9781450367547
dc.identifier.urihttps://hdl.handle.net/1814/76637
dc.descriptionPublished: 17 June 2019en
dc.description.abstractIn many legal disputes, determining and evaluating cause-in-fact is a crucial step in the liability attribution. It is, however, difficult and opaque. In this paper, we analyse the cases of overdetermination, where there is more than one cause for the outcome. The proposed framework (FCA) employs logic-based argument modelling. It distinguishes individual contributors in overdetermination cases by using a new set of critical questions based on argument schemes from effect-to-cause. To illustrate the use of the FCA, the Heneghan v Manchester Dry Docks lung cancer case with multi-party contributions is analysed.en
dc.language.isoenen
dc.publisherAssociation for Computing Machineryen
dc.titleEvaluation of causal arguments in law : the case of overdeterminationen
dc.typeContribution to booken
dc.identifier.doi10.1145/3322640.3326698


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