Abstract
AI generative technologies expand the capabilities of the photographic medium to produce images that resemble photographs while maintaining its credibility. Assumed perceptual attributes are confronted with new AI technologies increasingly integrated into all aspects of image-making, coexisting with established ways of seeing. AI is not photography as such, but a generative procedure trained from repertoires of images, subjects, and ideas. Traditional photography limitations are related to camera technologies, camera position and frame selection, settings, recording materials, subjects, and photographers’ choices —including cameraless photography— in this regard, AI and traditional photography are similar, as the ultimate product is an image. Both rely on the capture and the interpretation of existing content. One could argue that both traditional photography and AI are based on repertoires of choices and subjects; AI brings a new dimension to photography by adding the capability of incorporating nonexistent elements from collective memories ab initio. It is a new paradigm as it allows for incorporating elements into our work from collective memory, destabilizing the ontology of the image as we know it with all the disruptive possibilities that it instigates.
Presenters
Alejandro Loureiro LorenzoProfessor, VMPA, Rutgers University, New Jersey, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Photography, AI, Collective Memory, Perception, Data
