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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Making sense of AI systems development
Organization Unit
Authors
  • Mateusz Dolata
  • Kevin Crowston
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title IEEE Transactions on Software Engineering
Publisher Institute of Electrical and Electronics Engineers
Geographical Reach international
ISSN 0098-5589
Volume 50
Number 1
Page Range 123 - 140
Date 2024
Abstract Text We identify and describe episodes of sensemaking around challenges in modern Artificial-Intelligence (AI)-based systems development that emerged in projects carried out by IBM and client companies. All projects used IBM Watson as the development platform for building tailored AI-based solutions to support workers or customers of the client companies. Yet, many of the projects turned out to be significantly more challenging than IBM and its clients had expected. The analysis reveals that project members struggled to establish reliable meanings about the technology, the project, context, and data to act upon. The project members report multiple aspects of the projects that they were not expecting to need to make sense of yet were problematic. Many issues bear upon the current-generation AI’s inherent characteristics, such as dependency on large data sets and continuous improvement as more data becomes available. Those characteristics increase the complexity of the projects and call for balanced mindfulness to avoid unexpected problems.
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Digital Object Identifier 10.1109/tse.2023.3338857
Other Identification Number merlin-id:24182
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Keywords Artificial Intelligence, Software, Probabilistic Logic, Companies, Training, Cognition, Task Analysis, Artificial Intelligence, Empirical Study, Industry, Social Issues, Software Engineering, Systems Development