Pathways for Design Research on Artificial Intelligence

Ahmed Abbasi, Jeffrey Parsons, Gautam Pant, Olivia R. Liu Sheng, Suprateek Sarker

Research output: Contribution to journalReview articlepeer-review

18 Scopus citations

Abstract

An expanding body of information systems research is adopting a design perspective on artificial intelligence (AI), wherein researchers prescribe solutions to problems using AI approaches rather than describing or explaining AI-related phenomena being studied. In this editorial, we address some of the challenges faced in publishing design research related to AI and articulate viable pathways for publishing such work. More specifically, we highlight six major impediments, use the explosion in the state of the art for large language models to underscore these impediments, propose some pathways for overcoming the impediments, and use several example articles to illustrate how the pathways can be followed for different types of AI-related design artifacts.

Original languageEnglish (US)
Pages (from-to)441-459
Number of pages19
JournalInformation Systems Research
Volume35
Issue number2
DOIs
StatePublished - Jun 2024

Keywords

  • artificial intelligence
  • information systems research
  • pathways
  • • design research

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management
  • Library and Information Sciences

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