Special issue - Evidence & decision making in the law: theoretical, computational and empirical approaches

Marcello Di Bello, Bart Verheij

Decisions of judges, court experts and lay jurors play an important role in the fabric of society. Since the price of decisional errors in civil or criminal cases can be signifcant, it is paramount to employ good methods for assessing the evidence on which decisions are based. This special issue addresses questions at the intersection of evidence assessment in court and legal decision-making. The special issue contains the postproceedings of the workshop ‘Evidence & Decision Making in the Law: Theoretical, Computational and Empirical Approaches’ that was held in conjunction with the 16th International Conference on AI and Law and took place on June 16th, 2017 at King’s College London (https://icail2017evidencedecision .wordpress.com). The workshop aimed to foster an interdisciplinary debate among researchers in AI & Law working on legal reasoning and argumentation theory, legal scholars, philosophers and empirically minded researchers. For some general references on the themes discussed during the workshop, we refer the reader to the list at the end of this introduction.

Manuscript (in PDF-format)

Reference:
Di Bello, M., & Verheij, B. (eds.) (2020). Artificial Intelligence and Law 28 (1). Special issue - Evidence & decision making in the law: theoretical, computational and empirical approaches. https://doi.org/10.1007/s10506-019-09253-0

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