OS MEIOS PROBATÓRIOS DE ILÍCITOS ELEITORAIS LIGADOS À INTELIGÊNCIA ARTIFICIAL E O RITO DA REPRESENTAÇÃO POR PROPAGANDA IRREGULAR NO DIREITO PROCESSUAL ELEITORAL DO BRASIL

Antônio Eduardo Oliveira Damascena Café

doi:10.54899/dcs.v21i78.68

Keywords:

Artificial intelligence

Abstract

The new devices which regulate the use of artificial intelligence, added to the TSE Resolution that regulates Electoral Propaganda, bring illicit acts that must, according to the Brazilian electoral process, be the target of a legal process of representation, a rapid procedure that does not allow for delay in evidence. . Therefore, it is necessary to deal with the possible means of evidence to bring the claim to justice, as well as to prove the existence or not of the illicit act, since with the naked eye it is very difficult to determine whether or not content is manipulated by someone. artificial technologies, given their computerized precision.
References
1. DIGNUM, V. Responsible Artificial Intelligence - How to Develop and Use AI in a Res-ponsible Way. Artificial Intelligence: Foundations, Theory, and Algorithms. Springer, 2019.
2. GOMES, José Jairo. Direito Eleitoral. 20. ed. São Paulo (SP): Atlas, 2022. HAUGELAND, J.. Artificial intelligence: the very idea. Massachusetts: The MIT Press, 1985.
3. KURZWEIL, R. The age of intelligent machines. Cambridge, Mass: MIT Press, 1990.
4. MIRSKY, Y.; LEE, W. The creation and detection of deepfakes: A survey. ACM Comput. Surv., Association for Computing Machinery, New York, NY, USA, v. 54, n. 1, jan 2021. ISSN 0360-0300. Available at: https://doi.org/10.1145/3425780.
5. SICHMAN, J. S. et al. É possível a máquina superar o ser humano? Jornal da USP, n.XXX1, 2016.
6. WEERAWARDANA, M.; FERNANDO, T. Deepfakes detection methods: A literature survey. In: 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS). [S.l.: s.n.], 2021.
7. ZÍLIO, Rodrigo Lopez. Direito Eleitoral. 9. ed. São Paulo(SP): JusPodivm, 2023.
8. ZHENG, L.; ZHANG, Y.; THING, V. L. A survey on image tampering and its detection in real-world photos. Journal of Visual Communication and Image Representation, v. 58, p. 380–399, 2019. ISSN 1047-3203.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to cite

Café, A. E. O. D. (2024). THE MEANS OF EVIDENCE OF ELECTORAL ILLEGAL LINKS LINKED TO ARTIFICIAL INTELLIGENCE AND THE RITE OF REPRESENTATION FOR IRREGULAR ADVERTISING IN BRAZILIAN ELECTORAL PROCEDURE LAW. Derecho Y Cambio Social, 21(78), e68. https://doi.org/10.54899/dcs.v21i78.68

[1] DIGNUM, V. Responsible Artificial Intelligence - How to Develop and Use AI in a Res-ponsible Way. Artificial Intelligence: Foundations, Theory, and Algorithms. Springer, 2019.

[2] GOMES, José Jairo. Direito Eleitoral. 20. ed. São Paulo (SP): Atlas, 2022. HAUGELAND, J.. Artificial intelligence: the very idea. Massachusetts: The MIT Press, 1985.

[3] KURZWEIL, R. The age of intelligent machines. Cambridge, Mass: MIT Press, 1990.

[4] MIRSKY, Y.; LEE, W. The creation and detection of deepfakes: A survey. ACM Comput. Surv., Association for Computing Machinery, New York, NY, USA, v. 54, n. 1, jan 2021. ISSN 0360-0300. Available at: https://doi.org/10.1145/3425780.

[5] SICHMAN, J. S. et al. É possível a máquina superar o ser humano? Jornal da USP, n.XXX1, 2016.

[6] WEERAWARDANA, M.; FERNANDO, T. Deepfakes detection methods: A literature survey. In: 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS). [S.l.: s.n.], 2021.

[7] ZÍLIO, Rodrigo Lopez. Direito Eleitoral. 9. ed. São Paulo(SP): JusPodivm, 2023.

[8] ZHENG, L.; ZHANG, Y.; THING, V. L. A survey on image tampering and its detection in real-world photos. Journal of Visual Communication and Image Representation, v. 58, p. 380–399, 2019. ISSN 1047-3203.

Abstract

References

How to cite