<div class="csl-bib-body">
<div class="csl-entry">Dik, J. F., & Markovich, R. (2025). Judicial Discretion as Normative Reasoning: Deontic Characterization of Judicial Decision Making with Answer Set Programming. In J. Maranhão (Ed.), <i>ICAIL ’25: Proceedings of the Twentieth International Conference on Artificial Intelligence and Law</i> (pp. 268–277). ACM. https://doi.org/10.1145/3769126.3769220</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/225528
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dc.description.abstract
This paper presents a formal analysis of discretionary judicial decision making through its normative characterization, focusing on the concept’s central deontic feature, the inherent freedom, and its boundaries. We use answer set programming to grasp the deontic concepts and their interplay in a judge making a discretionary decision: the nuanced permissions showing the judge’s initial freedom but finally leading up to the decision itself, and the obligations, violation of which results in the decision being wrong. The here-presented formal framework hence captures judicial discretion in a comprehensive way with symbolic AI, which initiative can pave the way for broadening the application scope of computational law.
en
dc.language.iso
en
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dc.subject
legal KR
en
dc.subject
answer set programming
en
dc.subject
deontic logic
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dc.subject
judicial discretion
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dc.subject
automated decision making
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dc.title
Judicial Discretion as Normative Reasoning: Deontic Characterization of Judicial Decision Making with Answer Set Programming
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
University of Luxembourg, Luxembourg
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dc.relation.isbn
979-8-4007-1939-4
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dc.relation.doi
10.1145/3769126
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dc.description.startpage
268
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dc.description.endpage
277
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
ICAIL '25: Proceedings of the Twentieth International Conference on Artificial Intelligence and Law