Artistic Intelligence.
Machine Learning (ML) has been applied in the financial, medical and educational fields to make, for example, smart stock predictors, hospital robots, and virtual assistants. But their use in one of the most human of endeavours, creative expression, has been relatively unexplored. Current applicatio...
| Publicado en: | Kritikos pp. 1 - 2 |
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| Formato: | Artículo |
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Intertheory Press
Fall2020/Winter2021
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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=149036364&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 149036364 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 15525112 786C jtl: Kritikos issn: 15525112 maglogo: N pubinfo: dt: Fall2020/Winter2021 pid: 47478 pub: Intertheory Press artinfo: ui: 149036364 ppf: 1 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: C tig: atl: Artistic Intelligence. aug: au: Luo, Ray affil: Parsons School of Design Brain and Mind Research Institute, Cornell Medical College su: Machine learning Data mining Artificial intelligence sug: subj: Machine learning Data mining Artificial intelligence ab: Machine Learning (ML) has been applied in the financial, medical and educational fields to make, for example, smart stock predictors, hospital robots, and virtual assistants. But their use in one of the most human of endeavours, creative expression, has been relatively unexplored. Current applications of ML in artistic endeavours employ mostly artificial agents to extend human capabilities to realms where access to extensive data provides opportunities for associations previously unexploited by human artists. These examples take the human point of view first and merely expand human ability, by generating novel musical combinations based on a simple palette of tones, analyzing image content to pick out styles that serve as training for further image transformations, or joining poetic text based on phonetic similarities, for example. While these applications rely on ML as a data-mining agent in unexplored domains, they fail to exceed the limits of human expectations of what they can do. There's another arena in which ML enables artistic expression: using Artificial Intelligence (AI) in unexpected ways in everything we interact with. Imagine, for example, talking to a human whose responses are generated by Google Assistant, or interacting with a robot who secretly wants to make you take medication. I propose using ML to give novel behaviours to objects we interact with, allowing these behaviours to vary using predefined parameters for training, which are unknown to users. Applying ML to unexpected forms of interactions changes what we think machines are capable of, creating situations where AI goes beyond human expectations of what machine intelligence means to us, making objects oddly, Artistically Intelligent. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Kritikos is the property of Intertheory 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: Kritikos holder: Intertheory Press dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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