A Questionnaire on Art and Machine Learning.
Earlier this year, October distributed a questionnaire about art and machine learning to a select group of artists, art historians, critics, and curators, posing the following questions: "If AI algorithms have the capacity to analyze massive datasets and identify patterns, how has this capability in...
| Publicado en: | October no. 189; pp. 6 - 131 |
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| Formato: | Artículo |
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MIT Press
Summer2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=179811753&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 179811753 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01622870 OCT jtl: October issn: 01622870 maglogo: N pubinfo: dt: Summer2024 iid: 189 pid: 776 pub: MIT Press artinfo: ui: 179811753 10.1162/octo_a_00533 ppf: 6 ppct: 125 formats: fmt: @attributes: type: P size: 31.8MB tig: atl: A Questionnaire on Art and Machine Learning. aug: su: Machine learning Generative artificial intelligence History of photography Artificial neural networks Hallucinations Individualism Hallucinogenic drugs Chatonsky, Grégory Psychonauts sug: subj: Machine learning Generative artificial intelligence History of photography Artificial neural networks Hallucinations Individualism Hallucinogenic drugs Chatonsky, Grégory Psychonauts ab: Earlier this year, October distributed a questionnaire about art and machine learning to a select group of artists, art historians, critics, and curators, posing the following questions: "If AI algorithms have the capacity to analyze massive datasets and identify patterns, how has this capability influenced the generation of new artistic concepts and ideas? How are artists collaborating with, changing, torquing, or critiquing AI systems? Compared to, say, the history of photography and chance, or art and systems, does artists' use of generative AI today represent a difference in degree or kind? How have artists probed the creative possibilities of generative AI? How have they condemned the biases, ecological impact, and military-industrial origins of AI? Developed their own hybrid models and architectures? Explored the instrumentalization of AI systems, or, on the other hand, their unpredictability? What other models are possible? What is no longer possible? What is human or machine, creativity or computation, in the first place?" Responses were provided by K Allado-McDowell, American Artist, Nancy Baker-Cahill, Ian Cheng, Kate Crawford, Stephanie Dinkins, Simon Denny, Michele Elam, Noam Elcott, Alex Galloway, Holly Herndon and Matt Dryer, Tishan Hsu, David Joselit, Alexander Kluge, Lev Manovich, Trevor Paglen, Christiane Paul, Kris Paulsen, Warren Sack and Jennifer Gonzalez, Edward Shanken, Antonio Somaini, Christopher Kulendran Thomas, Fred Turner, and Amelia Winger-Bearskin. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of October is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: October holder: MIT Press dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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