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Beyond cyborgs: the cybork idea for the de-individuation of (artificial) intelligence and an emergence-oriented design

  • Federico Cabitza
  • , Chiara Natali
  • , Francesco Varanini
  • , David Gunkel

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

This article contributes to the philosophical inquiry of Artificial Intelligence (AI) by reframing the question “Where is the intelligence of Artificial Intelligence?” into “Where does AI intelligently operate?”. This rephrasing challenges our understanding of AI’s role in social practices and its integration into the human experience. Central to this discourse is the concept of the ‘cybork’ (a portmanteau of ‘cyborg’ and ‘work’), which symbolizes not just a physical entity but a dynamic system of actions and interactions within a socio-technical landscape: work accomplished with machines. In this framework, intelligence in AI lies not in any function of isolated systems, but rather in the situated context of their use within collective and meaningful practices that give technology its sense and direction. Conversely, technology both enables and shapes these practices to the extent that distinguishing between the two can seem unnecessary, or even detrimental, to the optimal design of and for work practices. The cybork embodies this integration and entanglement, transcending the traditional boundaries between individuals and collectives, entities and actions. It reveals the inseparability and co-dependence of humans and technology, where technological artifacts become extensions of human capabilities, embody collective human history and development, and serve as both products and participants in societal practices, fundamentally shaping our interaction with the world.
Original languageEnglish
Pages (from-to)3333-3348
Number of pages16
JournalAI & Society
Volume40
Issue number5
Early online date1 Feb 2025
DOIs
Publication statusPublished - Jun 2025
Externally publishedYes

Funding

Open access funding provided by Università degli Studi di Milano - Bicocca within the CRUI-CARE Agreement. F. Cabitza acknowledges funding support provided by the Italian project PRIN PNRR 2022 InXAID—Interaction with eXplainable Artificial Intelligence in (medical) Decision making. CUP: H53D23008090001 funded by the European Union—Next Generation EU. C. Natali gratefully acknowledges the PhD grant awarded by the Fondazione Fratelli Confalonieri, which has been instrumental in facilitating her research pursuits. Chiara Natali gratefully acknowledges the financial support provided by the Federal Commission for Scholarships for Foreign Students in the form of the Swiss Government Excellence Scholarship (ESKAS No. 2024.0002) for the academic year 2024–2025.

FundersFunder number
Fondazione Fratelli Confalonieri
European Commission
Università degli Studi di Milano-BicoccaH53D23008090001
Swiss Government Excellence Scholarship2024.0002

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