Abstract
Animals do not communicate with images. They don’t seem to know what images are. Similarly, artificial intelligence does not know what it is like to be a human being in a communication situation. Thus, from a sociological perspective, we must ask: What capabilities does an image machine need to make image-mediated communication seem interpersonal? From a sociological perspective, generative AI computes something that has been practiced as syntactic image cultures within societies. This simulated image practice is paraphrased by John Searle as the world-inexperience of AI operating from what he calls a “Chinese room”. What does generative AI need to be considered creative or to be recognized as art? Can AI provide attributable sequences of action and validity in social contexts as an actor? An autonomous image machine might pass a Turing test for images, but it would still cause social problems. Difficulties would be pre-programmed where identity, social equality, love, morality and law must be maintained as a social system in order to realize socialization. Pictures created by autonomous, generative AI would not receive the same recognition as pictures created by a human artist. Therefore, humans would not want to allow an autonomous image machine to paint their artistic pictures because they feel that the machine is not like them. From the point of view of socialized individuals, an autonomous, generative image machine is useful when individuals use it as a tool. It will be shown in which pragmatic corridors generative AI can prove helpful in social communication processes.
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, AI, VISUAL COMMUNICATION, CHINESE ROOM, KNOWLEDGE, SEMIOTICS, SOCIOLOGY
