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Artificial Intelligence for Impact Assessment of Administrative Burdens

2024-02-01Artigo científico Acesso aberto
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dc.contributor.authorCosta, Victor
dc.contributor.authorCoelho, Pedro
dc.contributor.authorCastelli, Mauro
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblSocieta Italiana di Istochimica / PAGEPress Publications
dc.date.accessioned2024-03-01T00:28:00Z
dc.date.available2024-03-01T00:28:00Z
dc.date.issued2024-02-01
dc.descriptionCosta, V., Coelho, P., & Castelli, M. (2024). Artificial Intelligence for Impact Assessment of Administrative Burdens. Emerging Science Journal, 8(1), 270-282. https://doi.org/10.28991/ESJ-2024-08-01-019 --- This work was supported by national funds through the FCT (Fundação para a Ciência e a Tecnologia) by the project UIDB/04152/2020-Centro de Investigação em Gestão de Informação – MagIC/NOVA IMS. This work was performed in the context of the the project “AI2A – Avaliação de Impacto e Inteligência Artificial” (POCI-05-5762-FSE-000226), funded by the program PORTUGAL 2020.
dc.description.abstractThis study proposes the use of Artificial Intelligence (AI) to automatize part of the legislative impact assessment process. In particular, the focus of this study is the automatic identification of administrative burdens from legislative documents. The goal of impact assessment for administrative burdens is to apply an evidence-based approach toward compliance costs generated by regulation. Employing advanced Natural Language Processing (NLP) techniques based on a transformer architecture, a system was specifically developed and tested using Portuguese legislation. The experimental phase involved the system's ability to accurately and comprehensively identify administrative burdens. Experimental results demonstrated the system's effectiveness, showing its suitability for supporting the legislative impact assessment process by automating a time-consuming task. To the best of our knowledge, this is the first attempt concerning the use of AI for automatizing the identification of administrative burdens. The proposed system may provide governments and policymakers with a tool to speed up the legislative impact assessment process, thereby streamlining decision-making processes. Moreover, the use of AI can make the legislative impact assessment process less subjective, thus increasing its transparency and making citizens more confident about the impartiality of the process that leads to new legislation.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent13
dc.format.extent926361
dc.identifier.doi10.28991/ESJ-2024-08-01-019
dc.identifier.issn2610-9182
dc.identifier.otherPURE: 84294875
dc.identifier.otherPURE UUID: 31631695-1200-4258-bb53-4161cd964f71
dc.identifier.othercrossref: 10.28991/ESJ-2024-08-01-019
dc.identifier.otherScopus: 85186236292
dc.identifier.otherORCID: /0000-0002-8793-1451/work/154391435
dc.identifier.otherORCID: /0000-0003-0828-9956/work/154392437
dc.identifier.urihttp://hdl.handle.net/10362/164321
dc.identifier.urlhttps://www.scopus.com/pages/publications/85186236292
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
dc.relationInformation Management Research Center
dc.subjectImpact Assessment
dc.subjectAdministrative Burdens
dc.subjectArtificial Intelligence
dc.subjectNatural Language Processing
dc.subjectTransformers
dc.subjectBERT
dc.subjectGeneral
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.subjectSDG 16 - Peace, Justice and Strong Institutions
dc.titleArtificial Intelligence for Impact Assessment of Administrative Burdensen
dc.typejournal article
degois.publication.firstPage270
degois.publication.issue1
degois.publication.lastPage282
degois.publication.titleEmerging Science Journal
degois.publication.volume8
dspace.entity.typePublication
oaire.awardNumberUIDB/04152/2020
oaire.awardTitleInformation Management Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication3274bdb3-4dd3-4bbe-8f74-d34190081f87
relation.isProjectOfPublication.latestForDiscovery3274bdb3-4dd3-4bbe-8f74-d34190081f87

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