Project Archetypes: A Blessing and a Curse for AI Development

Mateusz Dolata, Kevin Crowston, Gerhard Schwabe

Research output: Chapter in Book/Entry/PoemConference contribution

1 Scopus citations

Abstract

Software projects rely on what we call project archetypes, i.e., pre-existing mental images of how projects work. They guide distribution of responsibilities, planning, or expectations. However, with the technological progress, project archetypes may become outdated, ineffective, or counterproductive by impeding more adequate approaches. Understanding archetypes of software development projects is core to leverage their potential. The development of applications using machine learning and artificial intelligence provides a context in which existing archetypes might outdate and need to be questioned, adapted, or replaced. We analyzed 36 interviews from 21 projects between IBM Watson and client companies and identified four project archetypes members initially used to understand the projects. We then derive a new project archetype, cognitive computing project, from the interviews. It can inform future development projects based on AI-development platforms. Project leaders should proactively manage project archetypes while researchers should investigate what guides initial understandings of software projects.

Original languageEnglish (US)
Title of host publicationInternational Conference on Information Systems, ICIS 2022
Subtitle of host publication"Digitization for the Next Generation"
PublisherAssociation for Information Systems
ISBN (Electronic)9781713893615
StatePublished - 2022
Event43rd International Conference on Information Systems: Digitization for the Next Generation, ICIS 2022 - Copenhagen, Denmark
Duration: Dec 9 2022Dec 14 2022

Publication series

NameInternational Conference on Information Systems, ICIS 2022: "Digitization for the Next Generation"

Conference

Conference43rd International Conference on Information Systems: Digitization for the Next Generation, ICIS 2022
Country/TerritoryDenmark
CityCopenhagen
Period12/9/2212/14/22

Keywords

  • AI development
  • Archetypes
  • Cognitive Computing
  • IBM Watson
  • Platforms

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Fingerprint

Dive into the research topics of 'Project Archetypes: A Blessing and a Curse for AI Development'. Together they form a unique fingerprint.

Cite this