How do you solve a problem like DALL-E 2?:
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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
2023
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| Schlagworte: | |
| Zusammenfassung: | 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. |
| Beschreibung: | Illustration |
| ISSN: | 0021-8529 |
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| 520 | 3 | |a 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. | |
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| spelling | Wojtkiewicz, Kathryn Verfasser aut How do you solve a problem like DALL-E 2? Kathryn Wojtkiewicz 2023 Illustration txt rdacontent n rdamedia nc rdacarrier 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. Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Ästhetik (DE-588)4000626-8 gnd rswk-swf Kunstwerk (DE-588)4123592-7 gnd rswk-swf Bilderzeugung (DE-588)4197032-9 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s Bilderzeugung (DE-588)4197032-9 s Kunstwerk (DE-588)4123592-7 s Ästhetik (DE-588)4000626-8 s DE-604 volume:81 number:4 year:2023 pages:454-467 The journal of aesthetics and art criticism / American Society for Aesthetics. Ed. Thomas Munro Hoboken, NJ, 2023 Volume 81, number 4 (fall 2023), Seite 454-467 (DE-604)BV002662422 0021-8529 (DE-600)2930-0 |
| spellingShingle | Wojtkiewicz, Kathryn How do you solve a problem like DALL-E 2? Künstliche Intelligenz (DE-588)4033447-8 gnd Ästhetik (DE-588)4000626-8 gnd Kunstwerk (DE-588)4123592-7 gnd Bilderzeugung (DE-588)4197032-9 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4000626-8 (DE-588)4123592-7 (DE-588)4197032-9 |
| title | How do you solve a problem like DALL-E 2? |
| title_auth | How do you solve a problem like DALL-E 2? |
| title_exact_search | How do you solve a problem like DALL-E 2? |
| title_full | How do you solve a problem like DALL-E 2? Kathryn Wojtkiewicz |
| title_fullStr | How do you solve a problem like DALL-E 2? Kathryn Wojtkiewicz |
| title_full_unstemmed | How do you solve a problem like DALL-E 2? Kathryn Wojtkiewicz |
| title_short | How do you solve a problem like DALL-E 2? |
| title_sort | how do you solve a problem like dall e 2 |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Ästhetik (DE-588)4000626-8 gnd Kunstwerk (DE-588)4123592-7 gnd Bilderzeugung (DE-588)4197032-9 gnd |
| topic_facet | Künstliche Intelligenz Ästhetik Kunstwerk Bilderzeugung |
| work_keys_str_mv | AT wojtkiewiczkathryn howdoyousolveaproblemlikedalle2 |