We are very happy to announce the publication of this new report, authored (among others) by HUSH researchers Chiara Belletti, Ulrich Laitenberger, and Paola Tubaro. The report was published by ZEW (Leibniz Centre for European Economic Research). Crowd work refers to the practice of assigning tasks and projects undertaken for Read more…
The French peer-reviewed journal Les Mondes du Travail devotes an entire special issue to work and automation. DiPLab is featured prominently, with a long interview with Antonio Casilli and an article on the social protection of platform workers, co-authored with Clément Le Ludec, Elinor Wahal, and Paola Tubaro. To cite Read more…
Milagros Miceli, researcher at DiPLab and PhD candidate at TU Berlin, has received a Best Paper Award out of more than 1000 submissions for the paper she co-authored with Martin Schuessler and Tianling Yang. The paper is entitled Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision. Read more…
Our article, co-authored by Paola Tubaro, Clément Le Ludec, and Antonio Casilli, based on the OPLa research project has been published in the journal Work Organisation, Labour & Globalisation (open access). To cite the article: Tubaro, Paola, Clément Le Ludec, and Antonio A. Casilli. “Counting ‘micro-workers’: Societal and Methodological Challenges Read more…
The Journal of Industrial & Business Economics just published an article on the links between AI, micro-work and the automotive industry authored by Paola Tubaro (CNRS) ans Antonio Casilli (Telecom Paris – Polytechnic Institute of Paris). To cite the article : Paola Tubaro & Antonio A. Casilli (2019). Micro-work, artificial Read more…
The report Micro-work in France. Behind Automation, New Forms of Precarious Labour? is the outcome of the OPLa project, funded by the Force Ouvrière union, by the research institution MSH Paris Saclay, and by the French Prime Minister’s agency France Stratégie. Micro-work in France. Behind Automation, New Forms of Precarious Read more…
The first outcome of our OPLa project is an estimate of the number of persons who perform micro-task to train AI systems. The working paper is available in English on arXiv and in French in the working papers series of the Institut Interdisciplinaire pour l’Innovation (i3) of the CNRS. In Read more…