The repression of <i>mètis</i> within digital organizations

<p class="first" id="d270262e77">Numerous organizations are placing great emphasis on such techniques as evidence-based protocols to automation and artificial intelligence (AI) with the aim of improving efficiency and maximizing profitability. Such i...

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Main Author: W. David Holford
Format: Article
Language:English
Published: Pluto Journals 2020-08-01
Series:Prometheus
Online Access:https://www.scienceopen.com/hosted-document?doi=10.13169/prometheus.36.3.0253
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author W. David Holford
author_facet W. David Holford
author_sort W. David Holford
collection DOAJ
description <p class="first" id="d270262e77">Numerous organizations are placing great emphasis on such techniques as evidence-based protocols to automation and artificial intelligence (AI) with the aim of improving efficiency and maximizing profitability. Such instrumental techniques attempt to formalize all manner of environmental phenomena through abstraction and categorization. They have also reduced organizational capability to deal with dynamic environmental complexities, uncertainties and ambiguities. The aim of this paper is to examine organizational approaches relying heavily on formalized/automated protocols in aviation, medicine and other professional domains targeted by AI development. Such approaches repress the human capability known as <i>mètis</i>, which organizations require to deal successfully with dynamic ambiguities in the form of unexpected emergencies. <i>Mètis</i> is briefly explained, and examples of organizational barriers preventing its manifestation are given. </p>
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spelling doaj.art-7d1004e9938d439da7d4440dc6a970bc2023-05-03T15:20:14ZengPluto JournalsPrometheus0810-90281470-10302020-08-0136325327610.13169/prometheus.36.3.0253The repression of <i>mètis</i> within digital organizationsW. David Holford<p class="first" id="d270262e77">Numerous organizations are placing great emphasis on such techniques as evidence-based protocols to automation and artificial intelligence (AI) with the aim of improving efficiency and maximizing profitability. Such instrumental techniques attempt to formalize all manner of environmental phenomena through abstraction and categorization. They have also reduced organizational capability to deal with dynamic environmental complexities, uncertainties and ambiguities. The aim of this paper is to examine organizational approaches relying heavily on formalized/automated protocols in aviation, medicine and other professional domains targeted by AI development. Such approaches repress the human capability known as <i>mètis</i>, which organizations require to deal successfully with dynamic ambiguities in the form of unexpected emergencies. <i>Mètis</i> is briefly explained, and examples of organizational barriers preventing its manifestation are given. </p>https://www.scienceopen.com/hosted-document?doi=10.13169/prometheus.36.3.0253
spellingShingle W. David Holford
The repression of <i>mètis</i> within digital organizations
Prometheus
title The repression of <i>mètis</i> within digital organizations
title_full The repression of <i>mètis</i> within digital organizations
title_fullStr The repression of <i>mètis</i> within digital organizations
title_full_unstemmed The repression of <i>mètis</i> within digital organizations
title_short The repression of <i>mètis</i> within digital organizations
title_sort repression of i metis i within digital organizations
url https://www.scienceopen.com/hosted-document?doi=10.13169/prometheus.36.3.0253
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