The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence

New article, co-authored with Antonio A. Casilli and Marion Coville, just published in Big Data & Society!

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 three main functions of micro-work in the development of data-intensive, machine-learning based AI solutions.

The paper reports results of the 2017-18 DiPLab project, and is available here in open access.

Internship offer, TRIA project

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).