Micro-work, artificial intelligence and the automotive industry

Paola Tubaro 1, 2, 3 Antonio Casilli 4, 5
2 TAU - TAckling the Underspecified
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : This paper delves into the human factors in the "back-office" of artificial intelligence and of its data-intensive algorithmic underpinnings. We show that the production of AI is a labor-intensive process, which particularly needs the little-qualified, inconspicuous and low-paid contribution of "micro-workers" who annotate, tag, label, correct and sort the data that help to train and test smart solutions. We illustrate these ideas in the high-profile case of the automotive industry, one of the largest clients of digital data-related micro-working services, notably for the development of autonomous and connected cars. This case demonstrates how micro-work has a place in long supply chains, where tech companies compete with more traditional industry players. Our analysis indicates that the need for micro-work is not a transitory, but a structural one, bound to accompany the further development of the sector; and that its provision involves workers in different geographical and linguistic areas, requiring the joint study of multiple platforms operating at both global and local levels.
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Paola Tubaro, Antonio Casilli. Micro-work, artificial intelligence and the automotive industry. Journal of Industrial and Business Economics, Springer, 2019, pp.1-13. ⟨https://link.springer.com/article/10.1007/s40812-019-00121-1⟩. ⟨10.1007/s40812-019-00121-1⟩. ⟨hal-02148979⟩

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