Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/216075 
Year of Publication: 
2019
Series/Report no.: 
Working Paper Forschungsförderung No. 155
Publisher: 
Hans-Böckler-Stiftung, Düsseldorf
Abstract: 
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.
Subjects: 
crowdworking
artificial Intelligence
self-driving cars
automotive industry
global labour markets
AI
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Working Paper

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