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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Ryan Jenkins, David Černý and Tomáš Hříbek (eds) Autonomous Vehicle Ethics: The Trolley Problem and Beyond
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As open as possible, but as closed as necessary: openness in innovation policy
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Turning sportswashing against sportswashers: an unconventional perspective
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State secrets and compromises with capitalism: Lev Theremin and regimes of intellectual property
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In search of an author
The repression of mètis within digital organizations
Paper