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

  • Rūta LiepiņaEmail author
  • Giovanni Sartor
  • Adam Wyner
Article

Abstract

Disputes 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.

Keywords

Argumentation Causation Evidence Law Legal reasoning 

Notes

References

  1. Althen v Secretary of HHS (2003) The court of federal claims, Golkiewicz, Chief Special Master, 2003 WL 21439669Google Scholar
  2. Beebee H, Hitchcock C, Menzies P (2009) The Oxford handbook of causation. Oxford University Press, OxfordGoogle Scholar
  3. Bex F, Walton D (2012) Burdens and standards of proof for inference to the best explanation: three case studies. Law Probab Risk 11(2–3):113–133CrossRefGoogle Scholar
  4. Bex F, Van Koppen P, Prakken H, Verheij B (2010) A hybrid formal theory of arguments, stories and criminal evidence. Artif Intell Law 18(2):123–152CrossRefGoogle Scholar
  5. Bochman A, Lifschitz V (2015) Pearl’s causality in a logical setting. In: AAAI, pp 1446–1452Google Scholar
  6. Chockler H, Fenton N, Keppens K, Lagnado D (2015) Causal analysis for attributing responsibility in legal cases. In: Proceedings of the 15th international conference on artificial intelligence and law. ACM, pp 33–42Google Scholar
  7. Dymitruk M, Markovich R, Liepiņa R, El Ghosh M, van Doesburg R, Governatori G, Verheij B (2018) Research in progress: report on the ICAIL 2017 doctoral consortium. Artif Intell Law 26(1):49–97CrossRefGoogle Scholar
  8. Giunchiglia E, Lee J, Lifschitz V, McCain N, Turner H (2004) Nonmonotonic causal theories. Artif Intell 153(1–2):49–104MathSciNetCrossRefzbMATHGoogle Scholar
  9. Halpern JY (2016) Actual causality. MIT Press, CambridgeCrossRefzbMATHGoogle Scholar
  10. Halpern JY, Hitchcock C (2010) Actual causation and the art of modeling. In: Dechter R, Geffner H, Halpern J (eds) Heuristics, probability, and causality: a tribute to Judea Pearl. College Publications, London, pp 383–406Google Scholar
  11. Hart HLA, Honoré T (1985) Causation in the law. Oxford University Press, OxfordCrossRefGoogle Scholar
  12. Honoré T (2010) Causation in the law. In: Zalta EN (ed) The Stanford encyclopedia of philosophy. Winter 2010 edition, 2010Google Scholar
  13. Kowalski R, Sergot M (1989) A logic-based calculus of events. Foundations of knowledge base management. Springer, Berlin, pp 23–55CrossRefGoogle Scholar
  14. Lehmann J, Gangemi A (2007) An ontology of physical causation as a basis for assessing causation in fact and attributing legal responsibility. Artif Intell Law 15(3):301CrossRefGoogle Scholar
  15. Lehmann J, Breuker J, Brouwer B (2004) Causation in AI and law. Artif Intell Law 12(4):279–315CrossRefGoogle Scholar
  16. Modgil S, Prakken H (2014) The ASPIC+ framework for structured argumentation: a tutorial. Argum Comput 5(10):31–62CrossRefGoogle Scholar
  17. Moore M (2009) Causation and responsibility: an essay in law, morals, and metaphysics. Oxford University Press, OxfordCrossRefGoogle Scholar
  18. Mueller E (2014) Commonsense reasoning: an event calculus based approach. Morgan Kaufmann, Los AltosGoogle Scholar
  19. Pearl J, Mackenzie D (2018) The book of why: the new science of cause and effect. Basic Books, New YorkGoogle Scholar
  20. Posner RA (2010) How judges think. Harvard University Press, CambridgeGoogle Scholar
  21. Prakken H (1993) A logical framework for modelling legal argument. In: Proceedings of the 4th international conference on artificial intelligence and law. ACM, pp 1–9Google Scholar
  22. Prakken H, Sartor G (2009) A logical analysis of burdens of proof. In: Kaptein H, Prakken H, Verheij B (eds) Legal evidence and proof: statistics, stories, logic. Ashgate, AldershotGoogle Scholar
  23. Research Laboratory for Law, Logic & Technology, Vaccine Injury Project. http://www.lltlab.org/projects/data-projects/vaccineinjury-project/. Accessed 01 Sep 2018
  24. Schaffer J (2016) The metaphysics of causation. In: Zalta EN (ed) The Stanford encyclopedia of philosophy. Fall 2016 edition, 2016Google Scholar
  25. Turner H (1999) A logic of universal causation. Artif Intell 113(1–2):87–123MathSciNetCrossRefzbMATHGoogle Scholar
  26. Walker V, Vazirova K, Sanford C (2014) Annotating patterns of reasoning about medical theories of causation in vaccine cases: toward a type system for arguments. In: ArgMining@ ACL, pp 1–10Google Scholar
  27. Walton D (2005) Argumentation methods for artificial intelligence in law. Springer, BerlinGoogle Scholar
  28. Wright RW (2011) The NESS account of natural causation: a response to criticisms. In: Goldberg R (ed) Perspectives on causation, vol 285. Hart Publishing, Oxford, p 305Google Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Law DepartmentEuropean University InstituteFlorenceItaly
  2. 2.CIRSFIDUniversity of BolognaBolognaItaly
  3. 3.Department of Computer Science, School of LawSwansea UniversitySwanseaUK

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