Análisis técnico y ético del uso de arte generativo con redes generativas adversarias

Abstract

This article was conceived with the purpose of examining and understanding the technical and ethical impacts of artistic generation tools using the GAN deep learning model, which has caused transformations in sectors such as health, education and art. The focus was on analyzing the essence of GANs in the artistic creation process and conducting an ethical evaluation from a technical perspective. Aspects related to algorithmic fairness, transparency in decision-making and data ethics were addressed. In the methodology, an exploratory and mixed nature research was carried out, where searches were carried out in academic databases and a survey was implemented to collect perceptions about the ethical use of GAN in the generation of art. The results revealed a consensus in the acceptance of artistic generation models, as long as they adhere to ethical standards and transparent algorithms. The need to give priority to ethics and transparency in the development of artistic generation models was highlighted.