Lorenzo Manera

2024.12.31Itinera

DOI: 10.54103/2039-9251/27839

tlooto Summary

This contribution analyzes the Act's perspective on synthographies, highlighting how it interprets generative AI within the paradigm of copying and technical reproducibility, and examines the possible contribution offered by AI-generated images in the field of the visual art.

Abstract

Synthography, a term that describes images generated by Text-to-Image (TTI) technologies such as DALL·E, Midjourney, and Stable Diffusion, enables the creation of images generated through software that involve linguistic prompts. Such prompts are processed by encoded semantic systems, able to capture compositional aspects of arbitrary language text inputs. By drawing on the emerging aesthetic theories on AI-generated images, this contribution aims at discussing the European AI-Act, published in March 2024. Firstly, it analyzes the Act's perspective on synthographies, highlighting how it interprets generative AI within the paradigm of copying and technical reproducibility. Secondly, the paper discusses the regulatory challenges posed by AI-generated content, which blurs the line between original works and replicas, raising concerns about copyright and the authenticity of creative outputs. Third, the study explores the Act's paragraph regarding AI systems that produce content resembling existing images, as it concerns the testimonial value of images. Finally, this contribution examines the possible contribution offered by AI-generated images in the field of the visual art.

Citation format

MANERA, Lorenzo. Text-to-image technologies. the aesthetic implications of AI-generated images. Itinera, 2024.