Universität zu Köln

Loebbecke, Claudia, El Sawy, Omar, Kankanhalli, Atreyi, Markus, M. Lynne, Te'eni, Dov, Wrobel, Stefan, Ryden, Pernille ORCID: 0000-0002-1773-169X and Obeng-Antwi, Astrid (2020). Artificial Intelligence Meets IS Researchers: Can It Replace Us? Commun. Assoc. Inf. Syst., 47. S. 273 - 284. ATLANTA: ASSOC INFORMATION SYSTEMS. ISSN 1529-3181

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Abstract

Given we live in an era with accelerating digitization and rapid advances in artificial intelligence (AI), AI may eventually automate more job tasks. However, researchers have scarcely if at all critically analyzed how AI will automate such tasks and what professions it will automate more than others. Some studies suggest that AI cannot conduct highly creative and knowledge-intensive tasks. Yet, AI algorithms have generated creative art pieces that even art critics could not distinguish from human-drawn paintings. As IS (and most other) researchers, we pride ourselves on our work's scarcity, novelty, and creativity. In this context, we report on a panel at the 40th International Conference for Information Systems that debated whether AI can and will replace our major activity, IS research, or even IS researchers themselves.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Loebbecke, Claudia UNSPECIFIED UNSPECIFIED UNSPECIFIED El Sawy, Omar UNSPECIFIED UNSPECIFIED UNSPECIFIED Kankanhalli, Atreyi UNSPECIFIED UNSPECIFIED UNSPECIFIED Markus, M. Lynne UNSPECIFIED UNSPECIFIED UNSPECIFIED Te'eni, Dov UNSPECIFIED UNSPECIFIED UNSPECIFIED Wrobel, Stefan UNSPECIFIED UNSPECIFIED UNSPECIFIED Ryden, Pernille UNSPECIFIED orcid.org/0000-0002-1773-169X UNSPECIFIED Obeng-Antwi, Astrid UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-349589
DOI:	10.17705/1CAIS.04713
Journal or Publication Title:	Commun. Assoc. Inf. Syst.
Volume:	47
Page Range:	S. 273 - 284
Date:	2020
Publisher:	ASSOC INFORMATION SYSTEMS
Place of Publication:	ATLANTA
ISSN:	1529-3181
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language FUTURE; JOBS; AI Multiple languages Computer Science, Information Systems Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/34958