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Configuring machine learning algorithms in the development and pre-implementation of AI-based solutions
Linnaeus University, Faculty of Technology, Kalmar Maritime Academy.
University of Gothenburg, Sweden.
2021 (English)In: 37th EGOS Colloquium: Organizing for an inclusive society: Meanings, Motivations and Mechanisms, European group for organizational studies (EGOS) , 2021Conference paper, Published paper (Refereed)
Sustainable development
SDG 13: Take urgent action to combat climate change and its impacts by regulating emissions and promoting developments in renewable energy
Abstract [en]

Researchers have recently started to investigate how artificial intelligence (AI) and learning algorithms are impacting on work, organization and professional knowledge. Many analyses are focused on the deployment phase and practitioners’ reactions and challenges of integrating the new technologies into their existing practices. However, fewer studies have investigated the development and pre-implementation phase and how data analysts and computer engineers work to construct reliable systems and communicate their products to users and domain experts. This paper reports findings from an ongoing study on the development and implementation of AI in shipping. We illustrate the work done by technology providers in framing the system to intended user and how the relationship- and trust building of developers reduced users’ propensity of asking critical questions regarding the opacity of the system and its implications for organizational change and work. 

Place, publisher, year, edition, pages
European group for organizational studies (EGOS) , 2021.
National Category
Information Systems Human Aspects of ICT
Research subject
Computer and Information Sciences Computer Science, Information Systems
Identifiers
URN: urn:nbn:se:lnu:diva-105844OAI: oai:DiVA.org:lnu-105844DiVA, id: diva2:1579549
Conference
37th EGOS Colloquium: Organizing for an inclusive society: Meanings, Motivations and Mechanisms 2021 Sub-theme 11: [SWG] AI at Work, July 8-10, 2021, Amsterdam
Funder
Swedish Transport Administration, TRV2019/ 119989
Note

Ej belagd 210809

Available from: 2021-07-09 Created: 2021-07-09 Last updated: 2021-08-09Bibliographically approved

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Viktorelius, Martin

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf