TY - JOUR
T1 - Pathways for Design Research on Artificial Intelligence
AU - Abbasi, Ahmed
AU - Parsons, Jeffrey
AU - Pant, Gautam
AU - Liu Sheng, Olivia R.
AU - Sarker, Suprateek
N1 - Funding: A. Abbasi was funded by the National Science Foundation (NSF) [Grants 2240347 and IIS-2039915] and a Kemper Faculty Award. J. Parsons was funded by the Natural Sciences and Engineering Council of Canada (NSERC) [Grant RGPIN-2020-04916]. The authors are grateful for the invaluable feedback received on earlier versions of this editorial by various associate editors and editorial review board members of Information Systems Research as well as select knowledgeable colleagues from their home departments. These include Nicholas Berente, Jan vom Brocke, Samir Chatterjee, Sutirtha Chatterjee, Jingjing Li, Xiao Liu, Sandeep Purao, Matti Rossi, Sagar Samtani, Monica Chiarini Tremblay, Tuure Tuunanen, Yi Yang, Jingjing Zhang, and Huimin Zhao.
PY - 2024/6
Y1 - 2024/6
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - information systems research
KW - pathways
KW - • design research
UR - http://www.scopus.com/inward/record.url?scp=85199576437&partnerID=8YFLogxK
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U2 - 10.1287/isre.2024.editorial.v35.n2
DO - 10.1287/isre.2024.editorial.v35.n2
M3 - Review article
AN - SCOPUS:85199576437
SN - 1047-7047
VL - 35
SP - 441
EP - 459
JO - Information Systems Research
JF - Information Systems Research
IS - 2
ER -