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2025-07
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info:eu-repo/semantics/openAccess
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Universidad Nacional de Educación a Distancia (UNED). E.T.S. de Ingeniería Informática
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Resumen
La inteligencia artificial generativa ofrece la posibilidad de generar textos o archivos de imagen, vídeo o audio, con una gran calidad, y de forma cada vez más sencilla. Esto ha democratizado su uso, y a día de hoy, gran cantidad de gente usa a diario estas tecnologías como ayuda a tareas cotidianas, ya sean personales o profesionales. Sin embargo, también han proliferado los malos usos que se dan a estas tecnologías, permitiendo que sea bastante fácil generar material con el objetivo de crear un impacto negativo en la reputación de individuos, influir en la opinión pública, generar material de carácter sexual falso con la cara de personas conocidas, o estafar a gente impersonando a amigos o familiares de la posible víctima.
Puesto que la calidad de los contenidos generados es bastante buena, muchas veces no es sencillo detectar que se trata de contenido falso, y los consumidores no intencionados de este material pueden verse influenciados por los mismos. En la actualidad aún no se dispone de muchas herramientas de detección de este tipo de contenidos falsos, y las que existen son de pago o no están integradas en las aplicaciones que la gente usa habitualmente. Es por ello que la gente actualmente no dispone de mecanismos adecuados para poder defenderse de estos contenidos con propósitos maliciosos. Debido a ello, es necesario trabajar en el desarrollo de nuevas herramientas que puedan llegar a ayudar a los usuarios en la detección rápida de contenidos falsos, para que así puedan evitar ser engañados por dichos contenidos.
The generative artificial intelligence offers the possibility of generating texts or media files, such as image, video, or audio, of a high quality, and more and more easily. This has democratized its usage, and nowadays, lots of people are using it as a help in their daily tasks, both personal and professional. However, it has also proliferated the bad uses that can be done using these technologies, making quite easy and quick to generate material with the aim of creating a negative reputational impact, create an influence on public opinion, generate fake sexual material with the faces of known persons, or to scam people by impersonating the victim’s friends or family. Since the quality of the generated content is quite high, it is often difficult to detect whether it is a legit or fake content, and the unintentional consumers of this material can be influenced by it. Currently, there aren’t many tools to detect this kind of fake content, and the ones that exist are paid or not integrated into the tools that people normally use. Hence, people don’t have proper mechanisms to protect themselves against these contents with malicious purposes. Therefore, it is required to work on the development of new tools that could help users detect fake contents quickly, so that they can avoid being cheated or influenced by those contents.
The generative artificial intelligence offers the possibility of generating texts or media files, such as image, video, or audio, of a high quality, and more and more easily. This has democratized its usage, and nowadays, lots of people are using it as a help in their daily tasks, both personal and professional. However, it has also proliferated the bad uses that can be done using these technologies, making quite easy and quick to generate material with the aim of creating a negative reputational impact, create an influence on public opinion, generate fake sexual material with the faces of known persons, or to scam people by impersonating the victim’s friends or family. Since the quality of the generated content is quite high, it is often difficult to detect whether it is a legit or fake content, and the unintentional consumers of this material can be influenced by it. Currently, there aren’t many tools to detect this kind of fake content, and the ones that exist are paid or not integrated into the tools that people normally use. Hence, people don’t have proper mechanisms to protect themselves against these contents with malicious purposes. Therefore, it is required to work on the development of new tools that could help users detect fake contents quickly, so that they can avoid being cheated or influenced by those contents.
Descripción
Categorías UNESCO
Palabras clave
Inteligencia artificial generativa, Deepfake, Aprendizaje automático, Generación de audios falsos, Generative artificial intelligence, Deepfake, Machine learning, Generation of fake audios
Citación
Téllez Rodríguez, Álvaro. Trabajo Fin de Máster: "Generación y detección de deepfakes en archivos de audio". Universidad Nacional de Educación a Distancia (UNED), 2025
Centro
E.T.S. de Ingeniería Informática