Arbeitspapier
Crowdsourced production of AI Training Data: How human workers teach self-driving cars how to see
Since 2017 the automotive industry has developed a high demand for ground truth data. Without this data, the ambitious goal of producing fully autonomous vehicles will remain out of reach. The self-driving car depends on self-learning algorithms, which in turn have to undergo a lot of supervised training. This requires vast amounts of manual labour, performed by crowdworkers across the globe. As a consequence, the demand in training data is transforming the crowdsourcing industry. This study is an investigation into the dynamics of this shift and its impacts on the working conditions of the crowdworkers.
- Language
-
Englisch
- Bibliographic citation
-
Series: Working Paper Forschungsförderung ; No. 155
- Classification
-
Wirtschaft
- Subject
-
crowdworking
artificial Intelligence
self-driving cars
automotive industry
global labour markets
- Event
-
Geistige Schöpfung
- (who)
-
Schmidt, Florian Alexander
- Event
-
Veröffentlichung
- (who)
-
Hans-Böckler-Stiftung
- (where)
-
Düsseldorf
- (when)
-
2019
- Handle
- URN
-
urn:nbn:de:101:1-2019102414513364122668
- Last update
-
10.03.2025, 11:45 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Schmidt, Florian Alexander
- Hans-Böckler-Stiftung
Time of origin
- 2019
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