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Artificial intelligence and machine learning

Kühl, Niklas ORCID iD icon 1,2; Schemmer, Max 1,2; Goutier, Marc 3; Satzger, Gerhard 1,2
1 Karlsruhe Service Research Institute (KSRI), Karlsruher Institut für Technologie (KIT)
2 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)
3 Technische Universität Darmstadt (TU Darmstadt)

Abstract:

Within the last decade, the application of "artificial intelligence" and "machine learning" has become popular across multiple disciplines, especially in information systems. The two terms are still used inconsistently in academia and industry—sometimes as synonyms, sometimes with different meanings. With this work, we try to clarify the relationship between these concepts. We review the relevant literature and develop a conceptual framework to specify the role of machine learning in building (artificial) intelligent agents. Additionally, we propose a consistent typology for AI-based information systems. We contribute to a deeper understanding of the nature of both concepts and to more terminological clarity and guidance—as a starting point for interdisciplinary discussions and future research.


Verlagsausgabe §
DOI: 10.5445/IR/1000151548
Veröffentlicht am 23.11.2022
Originalveröffentlichung
DOI: 10.1007/s12525-022-00598-0
Scopus
Zitationen: 23
Web of Science
Zitationen: 11
Dimensions
Zitationen: 30
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1019-6781, 1422-8890
KITopen-ID: 1000151548
Erschienen in Electronic markets
Verlag Springer
Band 32
Heft 4
Seiten 2235–2244
Schlagwörter Machine learning, Artificial intelligence, Terminology, Framework
Nachgewiesen in Scopus
Web of Science
Dimensions
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