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.


    Access

    Download


    Export, share and cite



    Title :

    Artificial intelligence and machine learning


    Contributors:

    Published in:

    Publication date :

    2022




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    BKL:    85.40 Marketing / 83.72 Verkehrswirtschaft




    Machine Learning and Artificial Intelligence

    Sadatuzzaman Saagoto, Md. / Farhan, Ahmed / Barua, Protik et al. | Springer Verlag | 2024