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How Do You Solve a Problem like DALL-E 2?

Authors :
Wojtkiewicz, Kathryn
Source :
Journal of Aesthetics & Art Criticism. Fall2023, Vol. 81 Issue 4, p454-467. 14p.
Publication Year :
2023

Abstract

The arrival of image-making generative artificial intelligence (AI) programs has been met with a broad rebuke: to many, it feels inherently wrong to regard images made using generative AI programs as artworks. I am skeptical of this sentiment, and in what follows I aim to demonstrate why. I suspect AI generated images can be considered artworks; more specifically, that generative AI programs are, in many cases, just another tool artists can use to realize their creative intent. I begin with an overview of how generative AI programs, like OpenAI's DALL-E 2, work. Then, leveraging work by Claire Anscomb, I argue that generative AI programs are a new technique of automatic image-making that affords creative agency to its users, thereby qualifying the images they create as artworks. Finally, I show many of the objections brought against AI artworks—including accusations of plagiarism and artistic devaluation—are due to the social backdrop in which we currently find them, rather than the technology itself. In the end, I aim to open the door to further aesthetic debate concerning AI generated images and art. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00218529
Volume :
81
Issue :
4
Database :
Academic Search Index
Journal :
Journal of Aesthetics & Art Criticism
Publication Type :
Academic Journal
Accession number :
175635619
Full Text :
https://doi.org/10.1093/jaac/kpad046