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Evaluation of Causal Arguments in Law: the Case of Overdetermination

Published: 17 June 2019 Publication History

Abstract

In 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.

References

[1]
SH Bailey. Causation in negligence: what is a material contribution? Legal Studies, 30(2):167--185, 2010.
[2]
Floris J Bex, Peter J Van Koppen, Henry Prakken, and Bart Verheij. A hybrid formal theory of arguments, stories and criminal evidence. Artificial Intelligence and Law, 18(2):123--152, 2010.
[3]
Alexander Bochman. Actual causality in a logical setting. In IJCAI, pages 1730--1736, 2018.
[4]
Andrei Bondarenko, Phan Minh Dung, Robert A Kowalski, and Francesca Toni. An abstract, argumentation-theoretic approach to default reasoning. Artificial intelligence, 93(1-2):63--101, 1997.
[5]
Hana Chockler and Joseph Y Halpern. Responsibility and blame: A structural-model approach. Journal of Artificial Intelligence Research, 22:93--115, 2004.
[6]
Philip Dawid, William Twining, and Mimi Vasilaki. Evidence, inference and enquiry. British Academy, 2011.
[7]
Phan Minh Dung. On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games. Artiicial intelligence, 77(2):321--357, 1995.
[8]
Norman Fenton, Martin Neil, and David A Lagnado. A general structure for legal arguments about evidence using bayesian networks. Cognitive science, 37(1):61--102, 2013.
[9]
Joseph Y Halpern. Actual causality. MIT Press, 2016.
[10]
ErinMHarley. Hindsight bias in legal decision making. Social Cognition, 25(1):48--63, 2007.
[11]
Antony Honoré. Causation in the law. In Edward N. Zalta, editor, The Stanford Encyclopedia of Philosophy. Winter 2010 edition, 2010.
[12]
PN Lee. Relation between exposure to asbestos and smoking jointly and the risk of lung cancer. Occupational and environmental medicine, 58(3):145--153, 2001.
[13]
Jos Lehmann, Joost Breuker, and Bob Brouwer. Causation in ai and law. Artificial Intelligence and Law, 12(4):279--315, 2004.
[14]
Rūta Liepiņa, Giovanni Sartor, and Adam Wyner. Arguing about causes in law: a semi-formal framework for causal arguments. Artificial Intelligence and Law, pages 1--21, 2019.
[15]
Michael S Moore. Causation and responsibility: An essay in law, morals, and metaphysics. Oxford University Press on Demand, 2009.
[16]
Judea Pearl. Causality. Cambridge university press, 2009.
[17]
Jane Stapleton. The two explosive proof-of-causation doctrines central to asbestos claims. Brook. L. Rev., 74:1011, 2008.
[18]
Bart Verheij, FJ Bex, Sjoerd T Timmer, JJC Meyer, SILJA Renooij, HENRY Prakken, et al. Arguments, scenarios and probabilities: connections between three normative frameworks for evidential reasoning. Law, Probability & Risk, 2015.
[19]
Douglas Walton. Argumentation methods for artificial intelligence in law. Springer Science & Business Media, 2005.
[20]
Richard W Wright. The ness account of natural causation: A response to criticisms. 2011.
[21]
Adam Z Wyner, Trevor JM Bench-Capon, and Katie M Atkinson. Towards formalising argumentation about legal cases. In Proceedings of the 13th international conference on artificial intelligence and law, pages 1--10. ACM, 2011.
  1. Evaluation of Causal Arguments in Law: the Case of Overdetermination

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      cover image ACM Conferences
      ICAIL '19: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law
      June 2019
      312 pages
      ISBN:9781450367547
      DOI:10.1145/3322640
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      Published: 17 June 2019

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