M-LAMAC: a model for linguistic assessment of mitigating and aggravating circumstances of criminal responsibility using computing with words

The general mitigating and aggravating circumstances of criminal liability are elements attached to the crime that, when they occur, affect the punishment quantum. Cuban criminal legislation provides a catalog of such circumstances and some general conditions for their application. Such norms give j...

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Veröffentlicht in:Artificial intelligence and law 2024-09, Vol.32 (3), p.697-739
Hauptverfasser: Rodríguez Rodríguez, Carlos Rafael, Amoroso Fernández, Yarina, Zuev, Denis Sergeevich, Peña Abreu, Marieta, Zulueta Veliz, Yeleny
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container_title Artificial intelligence and law
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creator Rodríguez Rodríguez, Carlos Rafael
Amoroso Fernández, Yarina
Zuev, Denis Sergeevich
Peña Abreu, Marieta
Zulueta Veliz, Yeleny
description The general mitigating and aggravating circumstances of criminal liability are elements attached to the crime that, when they occur, affect the punishment quantum. Cuban criminal legislation provides a catalog of such circumstances and some general conditions for their application. Such norms give judges broad discretion in assessing circumstances and adjusting punishment based on the intensity of those circumstances. In the interest of broad judicial discretion, the law does not establish specific ways for measuring circumstances’ intensity. This gives judges more freedom and autonomy, but it also imposes on them more social responsibility and challenges them to manage the uncertainty and subjectivity inherent in this complex activity. This paper proposes a model to aid the linguistic assessment of circumstances’ intensity and to provide linguistic and numerical recommendations to determine an appropriate punishment interval. M-LAMAC determines the collective evaluation of circumstances of the same type, determines the prevalence of a type of circumstance by means of a compensation function, recommends the required modification in the input interval, and finally recommends a numerical interval adjusted to the judges’ initially expressed preferences. The model’s applicability is demonstrated by means of several experiments on a fictitious case of bank document forgery.
doi_str_mv 10.1007/s10506-023-09365-8
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subjects Aggravating circumstances
Artificial Intelligence
Computer Science
Crime
Criminal liability
Information Storage and Retrieval
Intellectual Property
IT Law
Legal Aspects of Computing
Legislation
Linguistics
Media Law
Original Research
Philosophy of Law
title M-LAMAC: a model for linguistic assessment of mitigating and aggravating circumstances of criminal responsibility using computing with words
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