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

    Access via TIB


    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:    83.72 Verkehrswirtschaft / 85.40 Marketing





    UTM Regulatory Concerns with Machine Learning and Artificial Intelligence

    Ryan, Richard / Al-Rubaye, Saba / Braithwaite, Graham | IEEE | 2022


    ONBOARD ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR ENHANCING SMALLSAT CONSTELLATIONS

    Heistand, Christopher / Alford, Amy / Bathrick, Elizabeth et al. | TIBKAT | 2020


    AN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING BASED TRAFFIC CONTROL SYSTEM

    MARAM BALAJEE / SRINADH V / ESWARI DUTTA SAI et al. | European Patent Office | 2020

    Free access