Fluid Socio-Technical (Trans)formation of an AI system

Joona Ruissalo, Esko Penttinen, Aleksandre Asatiani

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

The paper applies a flow-oriented perspective to examine how temporal conditioning of the flows of people and digital technologies dynamically shape socio-technical formation and the transformation process of an AI (artificial intelligence) system. Drawing on an in-depth case study of a financial accounting services company that was developing and deploying an AI system in its work process enabled forming a flow-based genealogical account of the fluid process of socio-technical (trans)formation. This allows to explore how delays to AI system deployment can arise from impediments to the dynamics of creation, sensing, and undergoing of possibilities for action wherein the flows of practices and actions involved cannot reach favorable conditions to form correspondence along the (trans)formative system-development path.
Original languageEnglish
Title of host publicationProceedings of the Annual Hawaii International Conference on System Sciences
ISBN (Electronic)978-0-9981331-5-7
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
EventAnnual Hawaii International Conference on System Sciences - Manoa, United States
Duration: 4 Jan 20227 Jan 2022
Conference number: 55

Conference

ConferenceAnnual Hawaii International Conference on System Sciences
Abbreviated titleHICSS
Country/TerritoryUnited States
CityManoa
Period04/01/202207/01/2022

Keywords

  • Artificial intelligence
  • Flow
  • Kairos
  • Chronos
  • Socio-technical systems
  • Case study

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