Speculative machines and us: more-than-human intuition and the algorithmic condition.
In the wake of Turing's 'universal machine', this article foregrounds intuition as a generative concept and lens to unfold the affective genealogies of human-machine relations in post-war transatlantic cultures. As a mode of sensing, knowing, anticipating, and navigating the world that exceeds ratio...
| Publicado en: | Cultural Studies Vol. 38; no. 2; pp. 188 - 219 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
Mar2024
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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=175637338&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 175637338 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 09502386 05G jtl: Cultural Studies issn: 09502386 maglogo: N pubinfo: dt: Mar2024 vid: 38 iid: 2 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 175637338 10.1080/09502386.2022.2142805 ppf: 188 ppct: 31 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2.1MB tig: atl: Speculative machines and us: more-than-human intuition and the algorithmic condition. aug: au: Pedwell, Carolyn affil: Professor of Cultural Studies and Media, University of Kent, Canterbury, United Kingdom of Great Britain and Northern Ireland su: Machine learning Cybernetics Artificial intelligence Genealogy Algorithms sug: subj: Machine learning Cybernetics Artificial intelligence Genealogy Algorithms keyword: Affect Alan Turing algorithm cybernetics intuition post-war genealogy ab: In the wake of Turing's 'universal machine', this article foregrounds intuition as a generative concept and lens to unfold the affective genealogies of human-machine relations in post-war transatlantic cultures. As a mode of sensing, knowing, anticipating, and navigating the world that exceeds rational analysis, intuition is, I will argue, vital to attuning to our contemporary 'algorithmic condition', in which machine learning technologies are actively re-distributing cognition across humans and machines, transforming the nature of (in)human experience, and rearticulating questions of cultural value and desire. The article focuses on three key historical moments which enable us to retrospectively glimpse an emerging condensation of interest and urgency concerning our changing relationships with 'new' technologies in Britain and North America – 1) 1950s: The birth of AI and cybernetics; 2) 1980s: The rise of the personal computer and software cultures and; 3) 2010s: Inhabiting algorithmic life. In each period, particular aspects of intuition surface as significant in animating our affective and cultural entanglements with computational technologies. While intuition has gained affective traction at particular historical junctures as both what essentially defines 'the human' and what has become essentially inhuman, I argue that addressing the sensorial, socio-political, cultural, and ethical issues current machine learning architectures open up requires attuning to immanent human-algorithmic entanglements and the techno-social ecologies they inhabit and recursively reshape. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Cultural Studies is the property of Taylor & Francis Ltd 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: Cultural Studies holder: Taylor & Francis Ltd dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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