The End of Prediction? AI Technologies in a No-Analog World.
AI technologies mine past data to anticipate future events, and yet our world of environmental and political crisis ushers in unprecedented conditions. Mixing examples of operational environments (AI in the oil and gas industry) with insights from media, cultural, and environmental studies, this art...
| Publicado en: | Substance: A Review of Theory & Literary Criticism Vol. 52; no. 2; pp. 59 - 74 |
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| Formato: | Artículo |
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Johns Hopkins University Press
2023
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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=172011489&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 172011489 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00492426 2FG jtl: Substance: A Review of Theory & Literary Criticism issn: 00492426 maglogo: N pubinfo: dt: 2023 vid: 52 iid: 2 pid: 226 pub: Johns Hopkins University Press artinfo: ui: 172011489 10.1353/sub.2023.a907149 ppf: 59 ppct: 15 formats: fmt: @attributes: type: P size: 7.1MB tig: atl: The End of Prediction? AI Technologies in a No-Analog World. aug: au: Munn, Luke affil: University of Queensland su: Artificial intelligence Data mining Acquisition of data Prediction models Climate change sug: subj: Artificial intelligence Data mining Acquisition of data Prediction models Climate change keyword: AI climate change knowledge machine learning prediction uncertainty ab: AI technologies mine past data to anticipate future events, and yet our world of environmental and political crisis ushers in unprecedented conditions. Mixing examples of operational environments (AI in the oil and gas industry) with insights from media, cultural, and environmental studies, this article explores this grappling with uncertainty. To manage uncertainty, companies strive to internalize the complexity and contingency of the real world, collecting more data, designing more accurate sensors, and developing more exhaustive models. And yet prediction is a fraught exercise that struggles with correlation versus causation, the epistemological outside (the unknown), and the ontological outside (the open-endedness of the future). In addition, technology's role in accelerating and intensifying the destructive logics of capital contributes to more volatile planetary conditions, undermining the stability and continuity that prediction requires. The article thus argues that, at a fundamental level, a highly fluid future will increasingly frustrate any meaningful degree of prediction. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Substance: A Review of Theory & Literary Criticism is the property of Johns Hopkins University 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: Substance: A Review of Theory & Literary Criticism holder: Johns Hopkins University Press dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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