Abstract
Artificial Intelligence (AI) currently generates a syntax of images in order to display visual communication in an appellative way by means of algorithmic aesthetics. This computer-assisted image production raises the question: how and where do images of an AI become meaningful to viewers in societies? Images of an AI are not only viewed and interpreted, but they integrate into complex, hybrid as well as digital networks. These networks of image communication use both human actors and intelligent image machines to generate information, to cooperate, and to develop syntactic forms by means of co-creation. In the age of their digital producibility, images occur in such masses that at best an AI can comprehensively order, store or process them. Thus, an AI often processes images that neither for individuals nor for societies were, are, or will become significant. If, however, an AI had generated all technically possible images, then societies could at best attach significance to them in isolated cases. Furthermore, although an AI analyzes individual contexts of use, the principally open meaning of images obstructs the attribution of what images subjectively mean to their recipients. Hence, the following study shows: What are the opportunities and risks of visual communication by means of images when an AI is involved?
Presenters
Andreas SchelskeProfessor, Institute for Media Economics and Journalism / Department Management, Information, Technology, Jade University of Applied Sciences, Niedersachsen, Germany
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
ARTIFICIAL INTELLIGENCE, SEMIOTIC, VISUAL COMMUNICATION, SOCIETIES; ALGORITHMIC AESTHETICS
