Arguing about causes in law : a semi-formal framework for causal arguments

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dc.contributor.authorLIEPIŅA, Rūta
dc.contributor.authorSARTOR, Giovanni
dc.contributor.authorWYNER, Adam
dc.date.accessioned2019-03-28T17:11:41Z
dc.date.available2019-03-28T17:11:41Z
dc.date.issued2020
dc.descriptionFirst Online: 05 March 2019en
dc.description.abstractDisputes over causes play a central role in legal argumentation and liability attribution. Legal approaches to causation often struggle to capture cause-in-fact in complex situations, e.g. overdetermination, preemption, omission. In this paper, we first assess three current theories of causation (but-for, NESS, ‘actual causation’) to illustrate their strengths and weaknesses in capturing cause-in-fact. Secondly, we introduce a semi-formal framework for modelling causal arguments through strict and defeasible rules. Thirdly, the framework is applied to the Althen vaccine injury case. And lastly, we discuss the need for new criteria based on a common causal argumentation framework and propose ideas on how to integrate the current theories of causation to assess the strength of causal arguments, while also acknowledging the tension between evidence-based and policy-based causal analysis in law.en
dc.identifier.citationArtificial intelligence and law, 2020, Vol. 28, pp. 69–89en
dc.identifier.doi10.1007/s10506-019-09246-z
dc.identifier.endpage89
dc.identifier.issn0924-8463
dc.identifier.issn1572-8382
dc.identifier.startpage69
dc.identifier.urihttps://hdl.handle.net/1814/62008
dc.identifier.volume28
dc.language.isoenen
dc.orcid.uploadtrue*
dc.publisherSpringeren
dc.relation.ispartofArtificial intelligence and lawen
dc.relation.urihttps://rdcu.be/bpGQO
dc.titleArguing about causes in law : a semi-formal framework for causal argumentsen
dc.typeArticleen
dspace.entity.typePublication
eui.subscribe.skiptrue
person.identifier.orcid0000-0002-2417-3219
person.identifier.orcid0000-0003-2210-0398
person.identifier.other39048
person.identifier.other29040
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relation.isAuthorOfPublication.latestForDiscovery74337b5d-70fe-4c8a-b67b-f6bc38c4fcc4
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