Machinic Memories: A Study on Mnemonic Articulations in Generative Images
Memory; Generative Image; Aby Warburg; Artificial Intelligence
Considering the popularization of generative image platforms, such as DALL-E, Midjourney and StableDiffusion, and the academic debate about the possibility of indicating the emergence of a new paradigm in image production, the main objective of this research project is to analyse the mnemonic articulations in synthetic images and their creator platforms. To do this, we take into account how these new tools relate to the media that preceded them throughout history and seek to question what is appropriated, recycled and organized in their image production. In order to analyze a series of images created on these platforms, we propose using the theory of German art historian Aby Warburg (1866-1929) and the methodology developed in Atlas Mnemosyne. Through this approach, we hope to contribute to the scientific debate on image production tools based on machine learning, adding to other studies in a field of knowledge that is still under construction and whose developments have an impact on the social, cultural and economic spheres.