VARIOUS ASPECTS OF THE WORK OF GENERATIVE INTELLIGENCE IN THE FINE ARTS USING THE DALL-E NEURAL NETWORK AS AN EXAMPE

Neural creativity, or Artificial Intelligence Art, is becoming increasingly widespread, competing with traditional works of art created by hand. The study is aimed at analyzing the operating principles and capabilities of neural networks that generate images, as well as assessing their advantages and limitations in various fields of application using the DALL-E neural network as an example. The analysis of domestic and foreign literature in the field of artificial intelligence (AI) technologies and law, structuring and systematization of the received information, is included. The principles of operation of the DALL-E neural network, its training process and the architecture of GANs (Generative Adversarial Networks) are considered. The generation stages from processing the query text to image generation are shown, and the concept of a diffuse model is described. Generative neural networks can serve as an independent tool for obtaining the final result. However, most often the technical capabilities of AI are used in combination with human creative abilities and ideas, complementing, expanding and enriching them, offering new creative ideas, significantly speeding up work and increasing its efficiency. It is important to ensure responsible use of technology and develop appropriate regulatory standards to minimize possible risks. The current issues of authorship of generated works are considered. Existing copyright legislation, both Russian and foreign, allows for some legal uncertainty in the area of establishing and protecting rights to works of neural networks. Based on the analysis of the principle of interaction with neural networks, possible solutions to problems are given.