Pornografia contemporanea: il deepfake come forma di abuso

Autores/as

DOI:

https://doi.org/10.31637/epsir-2024-370

Palabras clave:

donne, abuso, pornografia, NCII, educazione, IA, deepfake, nudifier

Resumen

Introduzione: La creazione non consensuale di immagini intime attraverso il deepfake è in aumento. I nudifier, nuovi strumenti di IA che realizzano nudificazioni delle immagini caricate, sono un nuovo metodo di produzione di contenuti che possono essere utilizzati a scopo di abuso. Metodologia: Attraverso un’analisi empirica e qualitativa, abbiamo esaminato l'uso e il risultato di queste applicazioni. Risultati: Gli intervistati hanno mostrato difficoltà nel riconoscere le immagini reali da quelle nudificate e rare forme di deterrenza nell’uso improprio di questi strumenti. Discussione: L'uso di nudifier pone seri problemi etici e legali, evidenziando la necessità di misure deterrenti più efficaci. Conclusioni: È fondamentale sviluppare strumenti e leggi per contrastare l'abuso dei nudifier e proteggere la privacy delle persone coinvolte.

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Biografía del autor/a

Lorenzo Di Silvestro, Accademia di Belle Arti di Catania

In 2008 he worked at the National Research Council (ITTIG-CNR). In 2014 he received his PhD degree in Computer Science in Catania collaborating with the Visualisierungsinstitut (VISUS) of the University of Stuttgart (Germany). As a research fellow from 2018 to 2020 he works on the project ‘Vision Exploitation for Data Interpretation (V.E.D.I.)’ dealing with behavioural analysis using machine learning techniques and on the GOOGLE DNI-funded project ARIA for the automatic semantic analysis of journalistic texts.


Lecturer in Interaction and Multimedia Laboratory (Department of Mathematics and Informatics); Introduction to Computational Linguistics (Department of Humanities); Interactive Systems (Academy of Fine Arts of Catanzaro) until 2022.
Lecturer in Digital Applications for the Visual Arts (ABTEC 38) at the Academy of Fine Arts in Catania.

Cristina Iurissevich, Accademia di Belle Arti di Catania

Adjunct lecturer at the Academy of Fine Arts in Catania and Naples for the subjects of Web Design, Basic Computer Science and Multimedia Languages.


She currently lives and works in Turin where she graduated from the Albertina Academy of Fine Arts.
Always a passionate explorer of new technologies, she works mainly as a multimedia artist, teacher and Web Designer.
She is a founding member of Osservatorio Nessuno, an association that deals with the protection of privacy and anonymity in relation to digital technologies.
Pending publication by Eris Edizioni, a book on criticism of the use of technology.

Citas

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Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., & Bengio, Y. (2014). Generative adversarial nets. Advances in Neural Information Processing Systems, 27. https://doi.org/10.48550/arXiv.1406.2661

Home Security Heroes (2023). 2023 State of deepfakes. Realities, threats and impact. https://www.homesecurityheroes.com/state-of-deepfakes/

Koltai, K. (23 febbraio 2024). Behind a Secretive Global Network of Non-Consensual Deepfake Pornography. https://bit.ly/4bx2fTj

Papachristou, K. (2023). Revenge porn helpline. 2023 Report.

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Wang, T. C., Liu, M. Y., Zhu, J. Y., Tao, A., Kautz, J., & Catanzaro, B. (2018). High-resolution image synthesis and semantic manipulation with conditional gans. En Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 8798-8807). https://doi.org/10.1109/CVPR.2018.00917

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Publicado

2024-07-24

Cómo citar

Di Silvestro, L., & Iurissevich, C. (2024). Pornografia contemporanea: il deepfake come forma di abuso. European Public & Social Innovation Review, 9, 1–20. https://doi.org/10.31637/epsir-2024-370

Número

Vol. 9 (2024)

Sección

INNOVANDO EN CONCEPTO DE GÉNERO

Licencia

Derechos de autor 2024 Lorenzo Di Silvestro, Cristina Iurissevich

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