Artificial intelligence and machine learning

Niklas Kühl, Max Schemmer, Marc Goutier and Gerhard Satzger

Publications of Darmstadt Technical University, Institute for Business Studies (BWL) from Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL)

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.

Date: 2025-04-02
New Economics Papers: this item is included in nep-cmp
Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/153962/
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Published in Electronic Markets : The International Journal on Networked Business 4 (2025-04-02) : pp. 2235-2244

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https://tuprints.ulb.tu-darmstadt.de/28206
https://doi.org/10.1007/s12525-022-00598-0

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Persistent link: https://EconPapers.repec.org/RePEc:dar:wpaper:153962

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