Supporting Discussions About Forensic Bayesian Networks Using Argumentation

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Abstract

Bayesian networks (BNs) are powerful tools that are increasingly being used by forensic and legal experts to reason about the uncertain conclusions that can be inferred from the evidence in a case. Although in BN construction it is good practice to document the model itself, the importance of documenting design decisions has received little attention. Such decisions, including the (possibly conflicting) reasons behind them, are important for legal experts to understand and accept probabilistic models of cases. Moreover, when disagreements arise between domain experts involved in the construction of BNs, there are no systematic means to resolve such disagreements. Therefore, we propose an approach that allows domain experts to explicitly express and capture their reasons pro and con modelling decisions using argumentation, and that resolves their disagreements as much as possible. Our approach is based on a case study, in which the argumentation structure of an actual disagreement between two forensic BN experts is analysed.
Original languageEnglish
Title of host publicationICAIL '19
Subtitle of host publicationProceedings of the Seventeenth International Conference on Artificial Intelligence and Law
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery
Pages143-152
Number of pages10
ISBN (Print)978-1-4503-6754-7
DOIs
Publication statusPublished - 17 Jun 2019

Keywords

  • Bayesian networks
  • Argumentation support
  • Legal reasoning

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