Resumen
The rapid integration of generative artificial intelligence (GenAI) into the visual arts has ushered in a new era, comparable in scale to the invention of photography in the 19th century. Technologies based on diffusion model architectures and Generative Adversarial Networks (GANs) have ceased to be merely tools of automation. Today, they act as full-fledged co-creators, radically reshaping the landscape of digital creativity. This paper is dedicated to exploring the transformation of the artist's identity: from a creator-executor to a curator of algorithmic processes. The article thoroughly analyzes the shift in focus from technical execution to intellectual intent, examines the issues of authorship and uniqueness, evaluates the concept of the "Black Box," and addresses the complex ethical dilemmas surrounding the use of intellectual property for model training. As a means to resolve the crisis of trust between algorithm developers and the creative community, the potential of non-fungible tokens (NFTs) and blockchain verification technologies is examined. It is substantiated that the future of digital art depends on achieving an ethical symbiosis where human empathy, contextual understanding, and critical thinking merge with the computational power of algorithms to create fundamentally new creative visualizations.
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