Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills
  1. Research Outputs

Text-to-image technologies. The Aesthetic implications of AI-generated images.

Academic Article
Publication Date:
2024
Short description:
Text-to-image technologies. The Aesthetic implications of AI-generated images / Manera, Lorenzo. - In: ITINERA. - ISSN 2039-9251. - 28:28(2024), pp. 129-141. [10.54103/2039-9251/27839]
abstract:
Synthography, a term that describes images generated by Text-to-Image (TTI) technologies such as DALLĀ·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.
Iris type:
Articolo su rivista
Keywords:
AI-generated images; Aesthetics; Text-to-Image technologies; Artificial Intelligence Act.
List of contributors:
Manera, Lorenzo
Authors of the University:
MANERA LORENZO
Handle:
https://iris.unimore.it/handle/11380/1368408
Full Text:
https://iris.unimore.it//retrieve/handle/11380/1368408/728649/Manera_article.pdf
Published in:
ITINERA
Journal
Project:
AI-generated Images: Investigating the Aesthetic, Educational, and the Socio-technical Impact of Synthography
  • Overview

Overview

URL

https://riviste.unimi.it/index.php/itinera/article/view/27839
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.4.4.0