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Potentials of AI for Production

In: Work and AI 2030

Author

Listed:
  • Marco Huber

    (Fraunhofer Institute for Manufacturing Engineering and Automation IPA)

  • Christian Jauch

    (Fraunhofer Institute for Manufacturing Engineering and Automation IPA)

  • Klaus Burmeister

    (Founder and managing director foresight lab)

Abstract

AI is attributed with a lot of potential for the production environment and is supposed to help make manufacturing more productive, human-friendly and sustainable. Despite these promising possibilities, AI is rarely used in production. In addition, AI and humans are far from a symbiotic collaboration. The reasons for this are numerous and it will be crucial for the German economy to resolve them to an even greater extent. With a view to the year 2030, the article presents six possible scenarios around AI in production, which show a gradually increasing influence of AI. In order for AI to be increasingly used, a systemic approach will be needed, which takes into account not only the production itself, but also framework conditions and social structures. It would be desirable even today to consider production as an experimental learning environment, in order to overcome technical, social and organisational hurdles together.

Suggested Citation

  • Marco Huber & Christian Jauch & Klaus Burmeister, 2023. "Potentials of AI for Production," Springer Books, in: Inka Knappertsbusch & Kai Gondlach (ed.), Work and AI 2030, pages 177-186, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-40232-7_20
    DOI: 10.1007/978-3-658-40232-7_20
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