Artificial intelligence and machine learning

Niklas Kühl (), Max Schemmer (), Marc Goutier () and Gerhard Satzger ()
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Niklas Kühl: Karlsruhe Institute of Technology (KIT)
Max Schemmer: Karlsruhe Institute of Technology (KIT)
Marc Goutier: Technical University of Darmstadt (TU Darmstadt)
Gerhard Satzger: Karlsruhe Institute of Technology (KIT)

Electronic Markets, 2022, vol. 32, issue 4, No 22, 2235-2244

Abstract: 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.

Keywords: Machine learning; Artificial intelligence; Terminology; Framework (search for similar items in EconPapers)
JEL-codes: C0 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s12525-022-00598-0

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