The compatibility of aI in criminal system with the ECHR and ECtHR jurisprudence

Nídia Andrade Moreira

doi:10.1007/978-3-031-16474-3_10

The compatibility of aI in criminal system with the ECHR and ECtHR jurisprudence

Nídia Andrade Moreira

Resultado de pesquisa › revisão de pares

Resumo

The admissibility of AI systems that focus on determining the measure of punishment must be analyzed in light of ECHR and ECtHR jurisprudence. We cannot live the AI evolution in a passive way and is a matter of time before it is adopted in the criminal justice system. The following paper focuses on the respect for fundamental rights as a filter of such instruments. We highlight the right to a fair trial (article 6), the principle of legality (article 7) and the prohibition of discrimination (article 14). Predictability can justify the adoption of predictive tools, ensuring fairer decision. On the other hand, explainability is an essential requirement that has been developed by explainable artificial intelligence. There are several AI models that must be adopted depending on domain and intended purpose. Only a multidisciplinary approach can ensure the compatibility of such instruments with ECHR. Thus, a confrontation between legal and engineering concepts is essential so that we can design tools that are more efficient, fairer and trustable.

Idioma original	English
Título da publicação do anfitrião	Progress in Artificial Intelligence
Subtítulo da publicação do anfitrião	21st EPIA Conference on Artificial Intelligence, EPIA 2022, Proceedings
Editores	Goreti Marreiros, Bruno Martins, Ana Paiva, Bernardete Ribeiro, Alberto Sardinha
Local da publicação	Cham
Editora	Springer
Páginas	108-118
Número de páginas	11
ISBN (eletrónico)	9783031164743
ISBN (impresso)	9783031164736
DOIs	https://doi.org/10.1007/978-3-031-16474-3_10
Estado da publicação	Publicado - set. 2022
Evento	21st EPIA Conference on Artificial Intelligence, EPIA 2022 - Lisbon Duração: 31 ago. 2022 → 2 set. 2022

Série de publicação

Nome	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13566 LNAI
ISSN (impresso)	0302-9743
ISSN (eletrónico)	1611-3349

Conferência

Conferência	21st EPIA Conference on Artificial Intelligence, EPIA 2022
País/Território	Portugal
Cidade	Lisbon
Período	31/08/22 → 2/09/22

ODS da ONU

Este resultado contribui para o(s) seguinte(s) Objetivo(s) de Desenvolvimento Sustentável

ODS 16 Paz, justiça e instituições fortes

Acesso ao documento

10.1007/978-3-031-16474-3_10

Outros arquivos e links

Link to publication in Scopus

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. (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

Citação

Moreira, N. A. (2022). The compatibility of aI in criminal system with the ECHR and ECtHR jurisprudence. Em G. Marreiros, B. Martins, A. Paiva, B. Ribeiro, & A. Sardinha (Eds.), Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Proceedings (pp. 108-118). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13566 LNAI). Springer. https://doi.org/10.1007/978-3-031-16474-3_10

Moreira, Nídia Andrade. / The compatibility of aI in criminal system with the ECHR and ECtHR jurisprudence. Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Proceedings. editor / Goreti Marreiros ; Bruno Martins ; Ana Paiva ; Bernardete Ribeiro ; Alberto Sardinha. Cham : Springer, 2022. pp. 108-118 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "The compatibility of aI in criminal system with the ECHR and ECtHR jurisprudence",

abstract = "The admissibility of AI systems that focus on determining the measure of punishment must be analyzed in light of ECHR and ECtHR jurisprudence. We cannot live the AI evolution in a passive way and is a matter of time before it is adopted in the criminal justice system. The following paper focuses on the respect for fundamental rights as a filter of such instruments. We highlight the right to a fair trial (article 6), the principle of legality (article 7) and the prohibition of discrimination (article 14). Predictability can justify the adoption of predictive tools, ensuring fairer decision. On the other hand, explainability is an essential requirement that has been developed by explainable artificial intelligence. There are several AI models that must be adopted depending on domain and intended purpose. Only a multidisciplinary approach can ensure the compatibility of such instruments with ECHR. Thus, a confrontation between legal and engineering concepts is essential so that we can design tools that are more efficient, fairer and trustable.",

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note = "Funding Information: Acknowledgement. This research was funded by the Portuguese Foundation for Science and Technology (FCT) through the PhD grant 2021.07986.BD. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 21st EPIA Conference on Artificial Intelligence, EPIA 2022 ; Conference date: 31-08-2022 Through 02-09-2022",

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Moreira, NA 2022, The compatibility of aI in criminal system with the ECHR and ECtHR jurisprudence. em G Marreiros, B Martins, A Paiva, B Ribeiro & A Sardinha (eds), Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13566 LNAI, Springer, Cham, pp. 108-118, 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, 31/08/22. https://doi.org/10.1007/978-3-031-16474-3_10

The compatibility of aI in criminal system with the ECHR and ECtHR jurisprudence. / Moreira, Nídia Andrade.
Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Proceedings. ed. / Goreti Marreiros; Bruno Martins; Ana Paiva; Bernardete Ribeiro; Alberto Sardinha. Cham: Springer, 2022. p. 108-118 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13566 LNAI).

Resultado de pesquisa › revisão de pares

TY - GEN

T1 - The compatibility of aI in criminal system with the ECHR and ECtHR jurisprudence

AU - Moreira, Nídia Andrade

N1 - Funding Information: Acknowledgement. This research was funded by the Portuguese Foundation for Science and Technology (FCT) through the PhD grant 2021.07986.BD. Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2022/9

Y1 - 2022/9

N2 - The admissibility of AI systems that focus on determining the measure of punishment must be analyzed in light of ECHR and ECtHR jurisprudence. We cannot live the AI evolution in a passive way and is a matter of time before it is adopted in the criminal justice system. The following paper focuses on the respect for fundamental rights as a filter of such instruments. We highlight the right to a fair trial (article 6), the principle of legality (article 7) and the prohibition of discrimination (article 14). Predictability can justify the adoption of predictive tools, ensuring fairer decision. On the other hand, explainability is an essential requirement that has been developed by explainable artificial intelligence. There are several AI models that must be adopted depending on domain and intended purpose. Only a multidisciplinary approach can ensure the compatibility of such instruments with ECHR. Thus, a confrontation between legal and engineering concepts is essential so that we can design tools that are more efficient, fairer and trustable.

AB - The admissibility of AI systems that focus on determining the measure of punishment must be analyzed in light of ECHR and ECtHR jurisprudence. We cannot live the AI evolution in a passive way and is a matter of time before it is adopted in the criminal justice system. The following paper focuses on the respect for fundamental rights as a filter of such instruments. We highlight the right to a fair trial (article 6), the principle of legality (article 7) and the prohibition of discrimination (article 14). Predictability can justify the adoption of predictive tools, ensuring fairer decision. On the other hand, explainability is an essential requirement that has been developed by explainable artificial intelligence. There are several AI models that must be adopted depending on domain and intended purpose. Only a multidisciplinary approach can ensure the compatibility of such instruments with ECHR. Thus, a confrontation between legal and engineering concepts is essential so that we can design tools that are more efficient, fairer and trustable.

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KW - Criminal system

KW - European Convention on Human Rights

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Progress in Artificial Intelligence

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A2 - Martins, Bruno

A2 - Paiva, Ana

A2 - Ribeiro, Bernardete

A2 - Sardinha, Alberto

PB - Springer

CY - Cham

T2 - 21st EPIA Conference on Artificial Intelligence, EPIA 2022

Y2 - 31 August 2022 through 2 September 2022

ER -

Moreira NA. The compatibility of aI in criminal system with the ECHR and ECtHR jurisprudence. Em Marreiros G, Martins B, Paiva A, Ribeiro B, Sardinha A, editores, Progress in Artificial Intelligence: 21st EPIA Conference on Artificial Intelligence, EPIA 2022, Proceedings. Cham: Springer. 2022. p. 108-118. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-16474-3_10

The compatibility of aI in criminal system with the ECHR and ECtHR jurisprudence

Resumo

Série de publicação

Conferência

ODS da ONU

Acesso ao documento

Outros arquivos e links

Impressão digital

Projetos

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

Citação