Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Future Prospects for the Application of Artificial Intelligence in Judicial Management

Bibliographic Data

ID22357015
AuthorsDiego Andrade A (Universidade de Santiago de Compostela), Moisés Toapanta T, M T Casi Setiningsih S T (Universidad Indoamérica), Zharayth Gómez D, Enrique Mafla G, A T (0009-0006-6421-5432, Universidad de Guadalajara), Antonio Orizaga T, Janio Jadán G (Universidad Indoamérica)
Year2024
Volume3
Issue7
Pages3223-3234
Publication date2024-10-25
Open AccessYes
TypeARTICLE
VenueJournal of Ecohumanism (JOURNAL)
Journal identifiersISSN: 2752-6798 • E-ISSN: 2752-6801
PublisherCreative Publishing House (PUBLISHER • GB)
DOI10.62754/joe.v3i7.4450
OpenAlexW4403762328
LanguageEN

The problems in judicial management persist regarding the applicability of artificial intelligence (AI) systems. Currently, they have become a challenge as they lack legal foundation and legitimacy, given that to date, only a minimal number of countries have laws addressing the supervision, regulation, management, and control of AI system applicability in judicial settings. The objective of this research is to analyze the future perspectives of the applicability of Artificial Intelligence in Judicial Management. The method employed will be exploratory research to analyze information from reviewed articles, legal reports, and official websites. Possible indicators of issues in AI applicability in judicial management, current and future trends of AI in judicial management, and an appropriate conceptual model for AI applicability in judicial management were identified. It was concluded that the application of artificial intelligence in judicial management remains a challenge and an ongoing issue because it currently does not inspire confidence in decision-making processes

Political science · Computer Science · Digital Transformation in Law · Psychology · Artificial Intelligence

Highly citedNo
Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae