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 mètis, which organizations require to deal successfully with dynamic ambiguities in the form of unexpected emergencies. Mètis is briefly explained, and examples of organizational barriers preventing its manifestation are given.

PAGES
253 – 276
DOI
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Issues
Also in this issue:
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Agnes Horvath, Magic and the Will to Science: A Political Anthropology of Liminal Technicality
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Gibson Burrell, Ronald Hartz, David Harvie, Geoff Lightfoot, Simon Lilley and Friends, Shaping for Mediocrity: The Cancellation of Critical Thinking at our Universities
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Bas de Boer, How Scientific Instruments Speak: Postphenomenology and Technological Mediations in Neuroscientific Practice
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Bjørn Lomborg, False Alarm
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How does innovation arise in the bicycle sector? The users’ role and their betrayal in the case of the ‘gravel bike’
The repression of mètis within digital organizations
Paper