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Vorausschau zu Künstlicher Intelligenz im Kontext von Arbeit und Arbeitsforschung

Author

Listed:
  • Malanowski Norbert

    (Projektleiter im VDI Technologiezentrum in Düsseldorf und Gastdozent für Künstliche Intelligenz und Wissenschaftskommunikation an der Universität Duisburg-Essen, Dusseldorf, Deutschland)

  • Hutapea Luciana

    (wissenschaftliche Beraterinnen im VDI Technologiezentrum, alle VDI Technologiezentrum, VDI-Platz 1, 40468 Düsseldorf, Deutschland)

  • Marquardt Jana

    (wissenschaftliche Beraterinnen im VDI Technologiezentrum, alle VDI Technologiezentrum, VDI-Platz 1, 40468 Düsseldorf, Deutschland)

  • Brandl Christopher

    (Gruppenleiter und stellvertretender Abteilungsleiter im Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie (FKIE) und Mitglied der Leitung des Instituts für Arbeitswissenschaft (IAW) an der RWTH Aachen, Aachen, Deutschland)

  • Nitsch Verena

    (Direktorin des Instituts für Arbeitswissenschaft (IAW) an der RWTH Aachen, beide Eilfschornsteinstr. 18, 52062 Aaachen, Deutschland)

Abstract

Emerging trends as well as innovation and technology topics have grown significantly in importance for the economy and labour world in recent years. When doing analysis on such developments in early stages, the existing strategies of labour research and the methods used are encountering changing requirements and tighter limits. Foresight is already established as a methodological tool in innovation and technology research. It is used, among other things, to identify emerging “new” or “forgotten” topics and/or trends and to prepare them for further processing by using participatory and deliberative methods. Labour research needs to tap into methods from other disciplines and fields of research. Foresight is such a field that can provide new impetus for labour research methods. Using the example of foresight regarding artificial intelligence in the context of work and labour research, this article reflects on the possibilities and limitations of testing and applying foresight as a new complementary set of methods in labour research and in relation to the shaping of work.

Suggested Citation

  • Malanowski Norbert & Hutapea Luciana & Marquardt Jana & Brandl Christopher & Nitsch Verena, 2026. "Vorausschau zu Künstlicher Intelligenz im Kontext von Arbeit und Arbeitsforschung," Arbeit, De Gruyter, vol. 35(2), pages 89-112.
    • Handle: RePEc:bpj:arbeit:v:35:y:2026:i:2:p:89-112:n:1002
    DOI: 10.1515/arbeit-2026-0006
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