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Crowdproduktion von Trainingsdaten: Zur Rolle von Online-Arbeit beim Trainieren autonomer Fahrzeuge


  • Schmidt, Florian A.


Seit 2017 gibt es einen sprunghaften Anstieg in der Nachfrage nach hochpräzisen Trainingsdaten für die Automobilindustrie. Ohne diese Daten ist das ehrgeizige Ziel des autonomen Fahrens nicht zu erreichen. Um den selbstlernenden Algorithmen die Steuerung der selbstlenkenden Fahrzeuge anvertrauen zu können, braucht es viel menschliche Handarbeit, die von Crowdworker_innen auf der ganzen Welt erledigt wird. Sie bringen den Maschinen das Hören und Sehen bei, während sich die Crowdsourcing-Industrie rasant verändert, um den neuen Qualitätsanforderungen gerecht zu werden.

Suggested Citation

  • Schmidt, Florian A., 2019. "Crowdproduktion von Trainingsdaten: Zur Rolle von Online-Arbeit beim Trainieren autonomer Fahrzeuge," Study / edition der Hans-Böckler-Stiftung, Hans-Böckler-Stiftung, Düsseldorf, volume 127, number 417.
  • Handle: RePEc:zbw:hbsedi:417

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    Cited by:

    1. Paola Tubaro & Antonio Casilli & Marion Coville, 2020. "The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence," Post-Print hal-02554196, HAL.
    2. Antonio Casilli & Paola Tubaro & Clément Le Ludec & Marion Coville & Maxime Besenval & Touhfat Mouhtare & Elinor Wahal, 2019. "Micro-work in France. Behind Automation, New Forms of Precarious Labour? [Le Micro-Travail en France. Derrière l'automatisation, de nouvelles précarités au travail ?]," Working Papers hal-02139528, HAL.
    3. Paola Tubaro & Antonio A. Casilli, 2019. "Micro-work, artificial intelligence and the automotive industry," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 333-345, September.
    4. Paola Tubaro & Clément Le Ludec & Antonio Casilli, 2020. "Counting ‘micro-workers’: societal and methodological challenges around new forms of labour," Post-Print hal-02898905, HAL.

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