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Legal decision support systems in Cuba: some background and notes for future projects

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dc.contributor.author Rodríguez Rodríguez C.R.
dc.contributor.author Amoroso Fernández Y.
dc.contributor.author Peña Abreu M.
dc.contributor.author Sergeevich Zuev D.
dc.date.accessioned 2022-02-09T20:36:58Z
dc.date.available 2022-02-09T20:36:58Z
dc.date.issued 2021
dc.identifier.issn 1360-0869
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/169384
dc.description.abstract Legal Decision Support Systems in Cuba as yet show few results, but now a resurgence of this field is possible. This new opportunity is due to the worldwide boom in AI & Law research. In addition to the current efforts towards the digital transformation of society. This paper aims to review some antecedents, and discuss some proposals for the evolution of this domain in the country. We first identify the strengths and constraints of some previous contributions and outline the current state of this topic in Cuba. Then, we propose some ideas for future projects, considering the main international approaches and state of the art in Artificial Intelligence, Soft Computing, Big data, and Open Data. We argue the importance of creating different forms of legal knowledge representation, the development of specific algorithms based on the most appropriate techniques for each task, updating of jurists’ and computer specialists’ curricula, and the legislative process improvement. Besides, we advocate the feasibility of creating recommendations in natural language, and we exemplify their types and uses. Finally, the paper calls attention to the protection of personal data and the importance of jurists to participate in the development of systems and to understand how they operate.
dc.relation.ispartofseries International Review of Law, Computers and Technology
dc.subject Decisional legal informatics
dc.subject legal decision support systems
dc.subject legal expert systems
dc.title Legal decision support systems in Cuba: some background and notes for future projects
dc.type Article
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS13600869-2021-SID85108589035


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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