With Antonio A. Casilli, I will be presenting a paper tomorrow at the Crowdworking Symposium organized by the University of Paderborn, Germany. Unfortunately, we will participate only online because of the health situation.
Our mini-paper (3 pages), entitled ‘Portraits of micro-workers: The real people behind AI in France’, is available here.
What is it about? ‘Micro-work’ consists of fragmented data tasks that myriad providers execute on online platforms. While crucial to the development of data-based technologies, this little visible and geographically spread activity is particularly difficult to measure. To fill this gap, we combined qualitative and quantitative methods (online surveys, in-depth interviews, capture-recapture techniques, and web traffic analytics) to count micro-workers in a single country, France. On the basis of this analysis, we estimate that approximately 260,000 people are registered with micro-work platforms. Of these some 50,000 are ‘regular’ workers who do micro-tasks at least monthly, and we speculate that using a more restrictive measure of ‘very active’ workers decreases this figure to 15,000. This analysis is important to better understand platform labour and the labour in the digital economy that lies behind artificial intelligence.
The paper sheds light on the role of digital platform labour in the development of today’s artificial intelligence, predicated on data-intensive machine learning algorithms. We uncover the specific ways in which outsourcing of data tasks to myriad ‘micro-workers’, recruited and managed through specialized platforms, powers virtual assistants, self-driving vehicles and connected objects. Using qualitative data from multiple sources, we show that micro-work performs a variety of functions, between three poles that we label, respectively, ‘artificial intelligence preparation’, ‘artificial intelligence verification’ and ‘artificial intelligence impersonation’. Because of the wide scope of application of micro-work, it is a structural component of contemporary artificial intelligence production processes – not an ephemeral form of support that may vanish once the technology reaches maturity stage. Through the lens of micro-work, we prefigure the policy implications of a future in which data technologies do not replace human workforce but imply its marginalization and precariousness.
The paper reports results of the 2017-18 DiPLab project, and is available here in open access.
I am currently seeking to hire a student intern for new research project TRIA (Les TRavailleurs de l’Intelligence Artificielle / Los TRabajadores de la Inteligencia Artificial). Start as soon as possible, conditional on evolving regulations at the end of the current lockdown. Max 6 months.
A full description of the project is enclosed (in French).
With our sponsors France Stratégie and MSH Paris-Saclay, we convene an international conference on micro-work in Paris on June 13, 2019, followed by the first INDL (International Network on Digital Labor) workshop on June 14. The event will include a “meet the microworkers” panel on June 13, where workers, platform owners and client companies will take the stage. There will also be presentations of the results of national and international surveys (notably ours, DiPLab) on these emerging forms of work, and discussions with French and international academic and institutional experts.
After Uber, Deliveroo and other on-demand services, micro-work is a new form of labor mediated by digital platforms. Internet and mobile services recruit crowds to perform small, standardized and repetitive tasks on behalf of corporate clients, in return for fees ranging from few cents to few euros. These tasks generally require low skills: taking a picture in a store, recognizing and classifying images, transcribing bits of text, formatting an electronic file… Despite their apparent simplicity, these micro-tasks performed by millions of people around the world, are crucial to create the databases needed to calibrate and “train” artificial intelligence algorithms.
Internationally, Amazon Mechanical Turk is the most widely known micro-work platform. In France and in French-speaking Africa, other platforms are attracting a growing number of workers to supplement or even substitute for their primary income. How widespread is the phenomenon? How to recognize, organize and regulate this new form of work? How, finally, does it relate to traditional forms of employment?
Presentations and discussions are held in French and English, with simultaneous translation.
I was last week at the second Reshaping Work in the Platform Economy in Amsterdam. The interest of this small conference is tht it brings together different actors of the platform economy, from academics and students to policymakers, union leaders, workers, and representatives of platforms to discuss.
In an overview of preliminary results of our project DiPLab, Antonio A. Casilli and I presented our reflection on how micro-work powers artificial intelligence (AI), in three main ways:
Validating outcomes of AI
Impersonating AI when it is cheaper or simpler that real AI
No more details for now… it will come out as a working paper very soon!