The Work of Art in an Age of Mechanical Generation
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Abstract (arXiv)
Can we define what it means to be "creative," and if so, can our definition drive artificial intelligence (AI) systems to feats of creativity indistinguishable from human efforts? This mixed question is considered from technological and social perspectives. Beginning with an exploration of the value we attach to authenticity in works of art, the article considers the ability of AI to detect forgeries of renowned paintings and, in so doing, somehow reveal the quiddity of a work of art. We conclude by considering whether evolving technical capability can revise traditional relationships among art, artist, and the market.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 25 references that are in the map. First posted on arXiv 27 Jan 2021.
Builds on
6 of 25 references.
References · 6
- 2020Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditingcited by 89
- 2020End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networkscited by 18
- 2020MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANscited by 5
- 2017Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authenticationcited by 4
- 2019Salient Slices: Improved Neural Network Training and Performance with Image Entropycited by 2
- 2020A Neural Network Looks at Leonardo's(?) Salvator Mundicited by 1
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