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ARTIFICIAL INTELLIGENCE AND PHILOSOPHICAL CREATIVITY: FROM ANALYTICS TO CREALECTICS
Örebro University, School of Humanities, Education and Social Sciences.ORCID iD: 0000-0001-5875-9851
2020 (English)In: Human Affairs, ISSN 1210-3055, E-ISSN 1337-401X, Vol. 30, no 4, p. 597-607Article in journal (Refereed) Published
Abstract [en]

The tendency to idealise artificial intelligence as independent from human manipulators, combined with the growing ontological entanglement of humans and digital machines, has created an "anthrobotic" horizon, in which data analytics, statistics and probabilities throw our agential power into question. How can we avoid the consequences of a reified definition of intelligence as universal operation becoming imposed upon our destinies? It is here argued that the fantasised autonomy of automated intelligence presents a contradistinctive opportunity for philosophical consciousness to understand itself anew as holistic and co-creative, beyond the recent "analytic" moment of the history of philosophy. Here we introduce the concept of "crealectic intelligence", a meta-analytic and meta-dialectic aspect of consciousness. Intelligent behaviour may consist in distinguishing discrete familiar parts or reproducible functions in the midst of noise via an analytic process of segmentation; intelligence may also manifest itself in the constitution of larger wholes and dynamic unities through a dialectic process of association or assemblage. But, by contrast, crealectic intelligence co-creates realities in the image of an ideal or truth, taking into account the desiring agent imbued with a sense of possibility, in a relationship not only with the Real but also with the creative sublime or "Creal".

Place, publisher, year, edition, pages
Walter de Gruyter, 2020. Vol. 30, no 4, p. 597-607
Keywords [en]
artificial intelligence, technology, analytics, crealectics, metaphilosophy
National Category
History of Ideas
Identifiers
URN: urn:nbn:se:oru:diva-87319DOI: 10.1515/humaff-2020-0053ISI: 000580969700013Scopus ID: 2-s2.0-85095793279OAI: oai:DiVA.org:oru-87319DiVA, id: diva2:1500169
Funder
EU, Horizon 2020, 825619Available from: 2020-11-11 Created: 2020-11-11 Last updated: 2023-12-08Bibliographically approved

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de Miranda, Luis

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