Algorithmic Empathy: Toward a Critique of Aesthetic AI
With artificial intelligence making inroads into the arts, a critique of aesthetic AI still needs to be written. To this end, this article argues that first, one must do away with the "Promethean anxiety" that assesses machine-created works by the standards of human-made ones, and second,...
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| Published in | Configurations (Baltimore, Md.) Vol. 30; no. 2; pp. 203 - 231 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Baltimore
Johns Hopkins University Press
01.03.2022
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| Subjects | |
| Online Access | Get full text |
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| Abstract | With artificial intelligence making inroads into the arts, a critique of aesthetic AI still needs to be written. To this end, this article argues that first, one must do away with the "Promethean anxiety" that assesses machine-created works by the standards of human-made ones, and second, one must turn to the technical substrate of such works for criteria of aesthetic critique. The article takes digital literature as an example and suggests a distinction between the "sequential paradigm" of linear algorithms and the "connectionist paradigm" of neural networks. Such media-specificity finds its aesthetic correlate in the medium-specificity of text and image. |
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| AbstractList | With artificial intelligence making inroads into the arts, a critique of aesthetic AI still needs to be written. To this end, this article argues that first, one must do away with the "Promethean anxiety" that assesses machine-created works by the standards of human-made ones, and second, one must turn to the technical substrate of such works for criteria of aesthetic critique. The article takes digital literature as an example and suggests a distinction between the "sequential paradigm" of linear algorithms and the "connectionist paradigm" of neural networks. Such media-specificity finds its aesthetic correlate in the medium-specificity of text and image. |
| Author | Bajohr, Hannes |
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| Copyright | Copyright © The Johns Hopkins University Press and the Society for Literature, Science, and the Arts Copyright Johns Hopkins University Press 2022 |
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| DOI | 10.1353/con.2022.0011 |
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| SubjectTerms | Aesthetics Algorithms Anxiety Artificial intelligence Artists Creativity Electronic literature Empathy Machine learning Neural networks |
| Title | Algorithmic Empathy: Toward a Critique of Aesthetic AI |
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