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Potentials in the Field of Mobility by Mathematical Methods of AI

In: Work and AI 2030

Author

Listed:
  • Anita Schöbel

    (TU Kaiserslautern)

  • Henrike Stephani

    (TU Kaiserslautern)

  • Michael Burger

    (TU Kaiserslautern)

Abstract

AI can positively improve the future world of work by taking over repetitive tasks from human workers and showing new connections. This is made possible by intelligent algorithms, fast computing and large storage capacities. Using three examples from the field of mobility, we want to show how AI can enable more creativity and holistic decisions and achieve higher reliability.

Suggested Citation

  • Anita Schöbel & Henrike Stephani & Michael Burger, 2023. "Potentials in the Field of Mobility by Mathematical Methods of AI," Springer Books, in: Inka Knappertsbusch & Kai Gondlach (ed.), Work and AI 2030, pages 229-237, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-40232-7_26
    DOI: 10.1007/978-3-658-40232-7_26
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