Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/115302
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dc.contributor.authorJanuário, Túlio Felippe Xavier-
dc.date.accessioned2024-05-25T08:06:05Z-
dc.date.available2024-05-25T08:06:05Z-
dc.date.issued2024-05-
dc.identifier.issn1392-1274pt
dc.identifier.urihttps://hdl.handle.net/10316/115302-
dc.description.abstractThe paper addressed the following questions: how can AI be applied in corporate internal investigations and what are the legal limits for its use? In case of effective application, how can it affect the admissibility and valuation of the information collected from these procedures in an eventual criminal lawsuit? It was demonstrated that, with the expectation of increasing the effectiveness and efficiency of compliance programs, AI has been used in real-time – and often predictive – supervision of employees, as well as in carrying out internal investigations, through, for example, lie detection systems. However, due to the limitations and risks of this technology, its employment must comply with legal parameters and restrictions. Therefore, three categories of restrictions were analyzed: with respect to (i) legal requirements for data processing, we noted that the processing of data to be used as input in those systems must find legal support in one of the hypotheses provided for in Articles 6 and 9(2) of the GDPR. Furthermore, the fundamental principles that substantiate the test of proportionality between the intended purpose and the intervention to be carried out, provided for in Article 5, must be observed. Regarding (ii) possible prohibitions on the use of AI systems in the context of internal investigations, we observed that the use of technologies to control and supervise the work environment must take into account the requirements of legality, shall not affect areas in which employees’ expectations of privacy must prevail, and, lastly, must observe a second test of proportionality, aimed at assessing whether the technology in question is adequate and necessary to achieve the purpose intended with it and whether the rights possibly affected by it should not prevail. About the (iii) limits to the admissibility and valuation of elements of information from internal investigations, we concluded that their admission in criminal proceedings will depend on a new judgment of legality and proportionality. In addition, they may be admitted when presented by the company, in its defence, or by Public Prosecution, provided that a third test of proportionality is observed and that these elements of information are not considered sufficient to substantiate the conviction of any defendant, therefore having probative value similar to elements from state investigation acts.pt
dc.language.isoengpt
dc.publisherVilnius University Presspt
dc.relation2020.08615.BDpt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectCorporate criminal lawpt
dc.subjectCompliancept
dc.subjectInternal investigationspt
dc.subjectArtificial Intelligencept
dc.titleOn The Legal Limits and Criminal Procedural Implications of Applying Artificial Intelligence in Corporate Internal Investigationspt
dc.title.alternativeDirbtinio intelekto taikymo įmonių vidaus tyrimuose teisinės ribos irbaudžiamieji procesiniai padariniaipt
dc.typearticle-
degois.publication.firstPage66pt
degois.publication.lastPage76pt
degois.publication.issue130pt
degois.publication.titleTeisépt
dc.relation.publisherversionhttps://www.journals.vu.lt/teise/issue/view/2429pt
dc.peerreviewedyespt
dc.identifier.doihttp://orcid.org/0000-0003-0400-1273pt
dc.date.embargo2024-05-01*
uc.date.periodoEmbargo0pt
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextCom Texto completo-
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.deptFaculty of Law-
crisitem.author.orcidhttp://orcid.org/0000-0003-0400-1273-
Appears in Collections:FDUC- Artigos em Revistas Internacionais
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This item is licensed under a Creative Commons License Creative Commons