Transforming Creative Process: A Systematic Literature Review of Discourse on AI Image Generators
Year: 2024
Type: review
Study design: Systematic Review
Abstract: ABSTRACT AI image generator, also known as Text‐to‐image generation (TTIG) technology, allows users to generate images based on natural language input. With advancements in AI, debates related to its application in the creative field have flourished. A systematic literature review was conducted to examine discourse that addresses the perception of people in the creative industry towards AI image generators and the impact of AI image generators on these individuals. The analysis of discourse revealed four major categories: 1) Evaluation of product or outcome of AI; 2) Impact of AI on practitioners/artists; 3) Impact of AI on creative industry and society; 4) Capabilities of AI technology. These findings provide insights into the areas of interest within AI image generator discussions on creative activity.
DOI: 10.1002/pra2.1162
Authors: Hyun Seung Lee, Manman Luo
Institution: University of Wisconsin–Milwaukee
Language: English
Topic: Digital Media and Visual Art
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4403433295