The relevance of deepfakes in the administration of criminal justice

Dalila Durães*, Pedro Miguel Freitas, Paulo Novais

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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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.

Original languageEnglish
Title of host publicationMultidisciplinary perspectives on artificial intelligence and the law
EditorsHenrique Sousa Antunes, Arlindo L. Oliveira, Elsa Vaz de Sequeira, Pedro Miguel Freitas, Clara Martins Pereira, Luís Barreto Xavier
PublisherSpringer Nature
Pages351-369
Number of pages19
ISBN (Electronic)9783031412646
ISBN (Print)9783031412639
DOIs
Publication statusPublished - 2024

Publication series

NameLaw, Governance and Technology Series
Volume58
ISSN (Print)2352-1902
ISSN (Electronic)2352-1910

Keywords

  • Administration
  • Criminal Justice
  • Deep learning
  • Deepfakes
  • Machine learning

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