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Artificial intelligence and machine learning

Author

Listed:
  • 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))

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.

Suggested Citation

  • Niklas Kühl & Max Schemmer & Marc Goutier & Gerhard Satzger, 2022. "Artificial intelligence and machine learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2235-2244, December.
    • Handle: RePEc:spr:elmark:v:32:y:2022:i:4:d:10.1007_s12525-022-00598-0
    DOI: 10.1007/s12525-022-00598-0
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    References listed on IDEAS

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    Cited by:

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    2. Yukthakiran Matla & Rohith Rao Yannamaneni & George Pappas, 2024. "Globalizing Food Items Based on Ingredient Consumption," Sustainability, MDPI, vol. 16(17), pages 1-22, August.
    3. Johannes Jakubik & Michael Vössing & Niklas Kühl & Jannis Walk & Gerhard Satzger, 2024. "Data-Centric Artificial Intelligence," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(4), pages 507-515, August.
    4. Goutier, Marc & Diebel, Christopher & Adam, Martin & Benlian, Alexander, 2024. "Proactive and Reactive Help from Intelligent Agents in Identity-Relevant Tasks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 142985, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).

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    More about this item

    Keywords

    Machine learning; Artificial intelligence; Terminology; Framework;
    All these keywords.

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General

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