The relevance of deepfakes in the administration of criminal justice

Dalila Durães; Pedro Miguel Freitas; Paulo Novais

doi:10.1007/978-3-031-41264-6_19

The relevance of deepfakes in the administration of criminal justice

Dalila Durães^*, Pedro Miguel Freitas, Paulo Novais

^*Autor correspondente para este trabalho

Resultado de pesquisa › revisão de pares

1 Citação (Scopus)

112 Transferências (Pure)

Resumo

Nowadays, it is challenging to distinguish between genuine content created by humans or deepfake created by deepfakes algorithms. Therefore, it is in the interests of society and nations to have systems that can notice and evaluate the content without human intervention. This paper presents the challenges of artificial intelligence, specifically machine learning and deep learning, in the fight against deepfake. In addition, it presents the relevance that deepfakes may have in the administration of criminal justice.

Idioma original	English
Título da publicação do anfitrião	Multidisciplinary perspectives on artificial intelligence and the law
Editores	Henrique Sousa Antunes, Arlindo L. Oliveira, Elsa Vaz de Sequeira, Pedro Miguel Freitas, Clara Martins Pereira, Luís Barreto Xavier
Editora	Springer Nature
Páginas	351-369
Número de páginas	19
ISBN (eletrónico)	9783031412646
ISBN (impresso)	9783031412639
DOIs	https://doi.org/10.1007/978-3-031-41264-6_19
Estado da publicação	Publicado - 2024

Série de publicação

Nome	Law, Governance and Technology Series
Volume	58
ISSN (impresso)	2352-1902
ISSN (eletrónico)	2352-1910

Acesso ao documento

10.1007/978-3-031-41264-6_19Licença:

91560097Final published version, 1,36 MBLicença:

http://hdl.handle.net/10400.14/43676Licença:

Outros arquivos e links

Link to publication in Scopus

1 Ativos

CEID-CRCFL: Católica Research Centre for the Future of Law
Pais, S. O. (Professor Associado), Costa, A. C. R. (Professor Auxiliar Convidado), Afonso, A. (Professor Auxiliar), Ribeiro, A. T. (PI), Martins, A. A. (Professor Auxiliar Convidado), Guedes, A. (Professor Associado), Sousa, A. F. D. (Professor Auxiliar), Triunfante, A. (Professor Auxiliar), Botelho, C. S. (Professor Auxiliar), Fraipont, C. D. (Estudante), Tavares, E. (Estudante), Ferreira, A. S. (Estudante), Antunes, A. F. M. (PI), Fonseca, A. (PI), Abrantes, A. M. (Estudante), Amaro, A. E. L. (Bolseiro), Cortês, A. U. (Professor Associado), Rocha, A. (Professor Auxiliar), Baldé, A. (Estudante), Sardinha, C. (Professor Auxiliar), Lucena, C. (Estudante), Sequeira, E. V. D. (Professor Auxiliar), Ferreira-Pinto, F. A. (Professor Auxiliar), Calvão, F. (Professor Associado), Alves, F. C. (Docente Assistente Convidado), Ribeiro, G. A. (Professor Auxiliar), Matias, G. (Professor Auxiliar), Ferreira, H. P. (Estudante), Salinas, H. (Professor Auxiliar), Antunes, H. S. (Professor Associado), Sousa, I. P. D. (Docente Assistente Convidado), Costa, I. G. (Estudante), Duarte, I. T. (Bolseiro), Dalhuisen, J. (Professor Visitante), Geng, J. (Estudante), Vasconcelos, J. (Professor Associado), Gomes, J. S. (Estudante), Lopes, J. F. (Estudante), Silva, J. P. D. (Professor Auxiliar), Lopes, J. A. (Professor Associado), Moutinho, J. L. (Professor Associado), Antunes, J. E. (Professor Associado), Proença, J. C. B. (Professor Associado Convidado), Estaca, J. N. (Estudante), Domingos, J. L. (Estudante), Cunha, J. D. D. (Professor Associado), Rodrigues, J. (Estudante), Taborda, J. (Estudante), Araújo, L. (Estudante), Fábrica, L. (Professor Auxiliar), Naia, L. R. (Bolseiro), Campos, M. F. (Professor Associado), Queiroz, B. M. (Professor Auxiliar), Cunha, M. D. C. (Professor Associado), Baptista, D. (Professor Auxiliar), Ribeiro, M. D. F. (Professor Associado), Ferreira, M. E. (Professor Auxiliar), Quadros, I. (Professor Auxiliar), Tavares, M. I. (Professor Auxiliar), Campos, I. M. (Professor Auxiliar), Martins, M. D. (Professor Auxiliar), Faria, M. P. R. D. (Professor Associado), Xavier, R. (Professor Catedrático), Faria, R. L. D. (Professor Auxiliar), Rocha, V. (Professor Auxiliar), Almeida, M. A. D. (Professor Catedrático), Domingos, M. P. (Bolseiro), Rosas, M. (Docente Assistente Convidado), Portocarrero, M. (Professor Auxiliar), Rouxinol, M. (Professor Auxiliar), Alija, N. (Estudante), Silva, N. S. E. (Professor Auxiliar Convidado), Martins, P. F. (Professor Auxiliar), Pichel, P. (Docente Assistente Convidado), Cunha, P. O. (Professor Associado), Albuquerque, P. P. D. (Professor Catedrático), Marques, P. G. (Professor Auxiliar), Machete, P. (Professor Associado), Gomes, P. C. (Professor Auxiliar Convidado), Freitas, P. (Professor Auxiliar), Carvalho, R. (Professor Associado), Moreira, R. R. (Bolseiro), Andrade, R. (Docente Assistente Convidado), Morais, R. D. (Professor Catedrático), Medeiros, R. (Professor Catedrático), Duarte, R. P. (Professor Catedrático), Carvalho, C. D. O. (Professor Associado), Tavares, S. (Professor Auxiliar), Vasques, S. (Professor Associado), Venda, S. B. E. (Estudante), Maltez, S. (Bolseiro), Rendas, T. (Professor Auxiliar Convidado), Tavares, T. (Professor Auxiliar), Ventura, V. (Estudante) & Nogueira, J. F. P. (Professor Auxiliar)
1/01/20 → 31/12/25
Projeto

1 Citações
1 Edited book

Multidisciplinary perspectives on artificial intelligence and the law
Antunes, H. S. (Editor), Freitas, P. M. (Editor), Oliveira, A. L. (Editor), Pereira, C. M. (Editor), Sequeira, E. V. D. (Editor) & Xavier, L. B. (Editor), 2024, 1 ed. Springer. 427 p. (Law, Governance and Technology Series)
Resultado de pesquisa › revisão de pares

Acesso aberto
Ficheiro
1296 Transferências (Pure)

Citação

Durães, D., Freitas, P. M., & Novais, P. (2024). The relevance of deepfakes in the administration of criminal justice. Em H. S. Antunes, A. L. Oliveira, E. V. D. Sequeira, P. M. Freitas, C. M. Pereira, & L. B. Xavier (Eds.), Multidisciplinary perspectives on artificial intelligence and the law (pp. 351-369). (Law, Governance and Technology Series; Vol. 58). Springer Nature. https://doi.org/10.1007/978-3-031-41264-6_19

Durães, Dalila ; Freitas, Pedro Miguel ; Novais, Paulo. / The relevance of deepfakes in the administration of criminal justice. Multidisciplinary perspectives on artificial intelligence and the law. editor / Henrique Sousa Antunes ; Arlindo L. Oliveira ; Elsa Vaz de Sequeira ; Pedro Miguel Freitas ; Clara Martins Pereira ; Luís Barreto Xavier. Springer Nature, 2024. pp. 351-369 (Law, Governance and Technology Series).

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abstract = "Nowadays, it is challenging to distinguish between genuine content created by humans or deepfake created by deepfakes algorithms. Therefore, it is in the interests of society and nations to have systems that can notice and evaluate the content without human intervention. This paper presents the challenges of artificial intelligence, specifically machine learning and deep learning, in the fight against deepfake. In addition, it presents the relevance that deepfakes may have in the administration of criminal justice.",

keywords = "Administration, Criminal Justice, Deep learning, Deepfakes, Machine learning",

author = "Dalila Dur{\~a}es and Freitas, {Pedro Miguel} and Paulo Novais",

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Durães, D, Freitas, PM & Novais, P 2024, The relevance of deepfakes in the administration of criminal justice. em HS Antunes, AL Oliveira, EVD Sequeira, PM Freitas, CM Pereira & LB Xavier (eds), Multidisciplinary perspectives on artificial intelligence and the law. Law, Governance and Technology Series, vol. 58, Springer Nature, pp. 351-369. https://doi.org/10.1007/978-3-031-41264-6_19

The relevance of deepfakes in the administration of criminal justice. / Durães, Dalila; Freitas, Pedro Miguel; Novais, Paulo.
Multidisciplinary perspectives on artificial intelligence and the law. ed. / Henrique Sousa Antunes; Arlindo L. Oliveira; Elsa Vaz de Sequeira; Pedro Miguel Freitas; Clara Martins Pereira; Luís Barreto Xavier. Springer Nature, 2024. p. 351-369 (Law, Governance and Technology Series; Vol. 58).

Resultado de pesquisa › revisão de pares

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T1 - The relevance of deepfakes in the administration of criminal justice

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AU - Freitas, Pedro Miguel

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PY - 2024

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AB - Nowadays, it is challenging to distinguish between genuine content created by humans or deepfake created by deepfakes algorithms. Therefore, it is in the interests of society and nations to have systems that can notice and evaluate the content without human intervention. This paper presents the challenges of artificial intelligence, specifically machine learning and deep learning, in the fight against deepfake. In addition, it presents the relevance that deepfakes may have in the administration of criminal justice.

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KW - Criminal Justice

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SN - 9783031412639

T3 - Law, Governance and Technology Series

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A2 - Xavier, Luís Barreto

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Durães D, Freitas PM, Novais P. The relevance of deepfakes in the administration of criminal justice. Em Antunes HS, Oliveira AL, Sequeira EVD, Freitas PM, Pereira CM, Xavier LB, editores, Multidisciplinary perspectives on artificial intelligence and the law. Springer Nature. 2024. p. 351-369. (Law, Governance and Technology Series). doi: 10.1007/978-3-031-41264-6_19

The relevance of deepfakes in the administration of criminal justice

Resumo

Série de publicação

Acesso ao documento

Outros arquivos e links

Impressão digital

Projetos

CEID-CRCFL: Católica Research Centre for the Future of Law

Resultado de pesquisa

Multidisciplinary perspectives on artificial intelligence and the law

Citação