Utilize este identificador para referenciar este registo:
https://hdl.handle.net/10316/108833
Título: | Corporate Internal Investigations 4.0: on the criminal procedural aspects of applying artificial intelligence in the reactive corporate compliance | Autor: | Januário, Túlio Felippe Xavier | Palavras-chave: | Corporate criminal law; compliance; internal investigations; artificial intelligence; Criminal procedure | Data: | Ago-2023 | Projeto: | This investigation was carried out within the scope of the project entitled "Autoria e responsabilidade em crimes cometidos através de sistemas de inteligência artificial", funded by the "Fundação para a Ciência e a Tecnologia - FCT" (2020.08615.BD). | Título da revista, periódico, livro ou evento: | Revista Brasileira de Direito Processual Penal | Volume: | 9 | Número: | 2 | Local de edição ou do evento: | Porto Alegre | Resumo: | The aim of the present paper is to analyze the criminal procedural implications of applying artificial intelligence systems in the context of internal investigations. More specifically, we will seek to answer the following questions: how can AI be used in these procedures and which are its legal boundaries? In case of effective use of this technology, how can it, in a future criminal proceeding, affect the admissibility and valuation of elements of information derived from internal investigations? In order to address these questions, we will apply the deductive methodology with a review of European and Brazilian legislation, doctrine and jurisprudence. At the end of the paper, we will demonstrate the limits to be observed for the processing of data and the use of AI in the scope of internal investigations, as well as the requirements and limits of sharing the information obtained from them with criminal proceedings. | URI: | https://hdl.handle.net/10316/108833 | ISSN: | 2525-510X | DOI: | 10.22197/rbdpp.v9i2.837 | Direitos: | openAccess |
Aparece nas coleções: | FDUC- Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
837-Texto do Artigo-3125-3263-10-20230630 (2).pdf | 617.24 kB | Adobe PDF | Ver/Abrir |
Visualizações de página
89
Visto em 17/jul/2024
Downloads
37
Visto em 17/jul/2024
Google ScholarTM
Verificar
Altmetric
Altmetric
Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.