Framing Cognitive Machines: A Sociotechnical Taxonomy

Pedro Albuquerque and Sophie Albuquerque
Additional contact information
Sophie Albuquerque: Université du Québec à Trois-Rivières, Département de philosophie et des arts, Trois-Rivières, Canada and Aix Marseille Univ, SMPM, Marseille, France and ACCELERATION & ADAPTATION, Aix-en-Provence, France

No 2323, AMSE Working Papers from Aix-Marseille School of Economics, France

Abstract: Aims: we propose a sociotechnical taxonomy for the analysis of socioeconomic disruptions caused by technological innovations. Methodology: a transdisciplinary principled approach is used to build the taxonomy through categorization and characterization of technologies using concepts and definitions originating from cybernetics, occupational science, and economics. The sociotechnical taxonomy is then used, with the help of logical propositions, to connect the characteristics of different categories of technologies to their socioeconomic effects, for example their externalities. Results: we offer concrete illustrations of concepts and uses, and an Industry 5.0 case study as an application of the taxonomy. We suggest that the taxonomy can inform the analysis of opportunities and risks related to technological disruptions, specially of those that result from the rise of cognitive machines.

Keywords: sociotechnical taxonomy; technological disruptions; technological innovations; automatic; autonomous; physical technology; cognitive technology; skill-enhancing; skill-replacing; externalities; Industry 5.0; cognitive machines; artificial intelligence; occupational science (search for similar items in EconPapers)
Pages: 13 pages
Date: 2023-11
New Economics Papers: this item is included in nep-inv and nep-neu
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.amse-aixmarseille.fr/sites/default/fil ... p_2023_-_nr_23_0.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aim:wpaimx:2323

Access Statistics for this paper

More papers in AMSE Working Papers from Aix-Marseille School of Economics, France AMU-AMSE - 5-9 Boulevard Maurice Bourdet, CS 50498 - 13205 Marseille Cedex 1. Contact information at EDIRC.
Bibliographic data for series maintained by Gregory Cornu ().