How human workers teach self-driving cars how to see: Crowdsourced production of AI Training Data
Since 2017 the automotive industry has developed a high demand for ground truth data. Without this data, the goal of producing fully autonomous vehicles will remain out of reach. The self-driving car depends on self-learning algorithms, which 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.
Schmidt, Florian Alexander:
Crowdsourced production of AI Training Data
Forschungsförderung Working Paper, Düsseldorf, 32 pages