The Défenseur des droits, France’s national rights watchdog, has just made public their latest decision (Decision No. 2025-086) concerning a major French platform that offers internet users micro-tasks in exchange for payment. This landmark ruling follows an in-depth investigation into discriminatory recruitment practices—based on nationality, bank domiciliation, and place of residence—brought to light with the support of DiPLab’s research, after the French data authority CNIL – Commission Nationale de l’Informatique et des Libertés had already flagged the platform. DiPLab’s 104-page anonymized report “Discriminations and vulnerabilities in France’s micro-work platforms” (in French) provided critical evidence and analysis. Our key scientific contribution was the development of a “vulnerability index,” a novel statistical measure that reveals how economic precarity can lead to indirect discrimination among microworkers. This tool—pioneering in its application to platform-based data work—helped demonstrate how structural conditions on these platforms can unfairly disadvantage certain groups. The Défenseur des Droits’ final recommendations to the platform include eliminating discriminatory registration criteria, increasing transparency in worker evaluation and payment systems, limiting intrusive personal data collection, and auditing algorithmic systems for potential biases. This decision carries significant implications for DiPLab. Being formally consulted and cited in such a high-level ruling affirms the scientific value and societal relevance of our work. It validates our methodological innovations—particularly the vulnerability Inde—as tools for understanding and addressing structural inequalities in digital labor. The outcome strengthens DiPLab’s position as a trusted partner for institutions, NGOs, and regulators working on platform fairness and algorithmic accountability, while providing a concrete case study that will inform future research. For a preview of our continuing work in this area, we invite you to attend our upcoming presentation at the INSNA Sunbelt Social Network Conference (June 23–29, 2025, Paris). Paola Tubaro, Antonio Casilli, José Luis Molina, and Antonio Santos-Ortega will present a comparative study on data worker vulnerability in France and Spain (see link in comment).

The journal New Technology, Work and Employment just published the article Uninvited Protagonists: The Networked Agency of Venezuelan Platform Data Workers, co-authored by DiPLab’s Paola Tubaro and Juana Torres-Cierpe. New-Technol-Work-Employ-2025-Cierpe-Uninvited-Protagonists-The-Networked-Agency-of-Venezuelan-Platform-Data-Workers Workers in Venezuela are powering AI production, often under tough conditions. Sanctions and a deep political-economic crisis have pushed them to work for platforms that pay in US dollars, albeit at low rates. They constitute a large reservoir for technology producers from rich countries. But they are not passive players. They build resilience, rework their environment, and sometimes engage in acts of resistance, with support from different segments of their personal networks. From strong local ties to loose online connections, these informal webs help them cope, adapt, and occasionally push back. Their diversified relationships comprise an unofficial and often hidden, albeit largely digitised relational infrastructure that sustains their work and shapes collective action. These findings invite to rethink agency as embedded in workers’ personal networks. To respond to adversities, one must liaise with equally affected peers, with family and friends who offer support, etc. Social ties ultimately determine who is enabled to respond, and who is not; whether any benefits and costs are shared, and with whom; whether any solution will be conflictual or peaceful. Social networks are not accessory but constitute the very channel through which Venezuelan data workers cope with hardship. Not all relationships play the same role, though. Venezuelans discover online data work through their strong ties with family, close friends, and neighbours. To convert their online earnings into local currency, they rely on their broader social networks of relatives and friends living abroad and indirect relationships with intermediaries. For managing their day-to-day activities, Venezuelans expand their social networks through online services like Facebook, WhatsApp, and Telegram, connecting with diverse and less-close peers within and outside the country. Different social ties affect the various stages of the data working experience. Overall, no Venezuelan could work alone – and the networked interactions that sustain each of them against hardship have made them massively present, as ‘uninvited protagonists,’ in international platforms. Their massive presence in the planetary data-tasking market is a supply rather than demand-driven phenomenon. This analysis also sheds light on the reasons why mobilisation is uncommon among platform data workers. Other studies noted diverging orientations of workers, unclear goals, lack of focus, and insufficient leadership. Another powerful reason hinges upon the predominance of weak ties in building up online group membership: indeed, distant acquaintances are insufficient to prompt people to action if their intrinsic motivations are low. The article is available in open access here.

We share the exciting news of two new papers that were published last month, concerning parts of the extensive research DiPLab conducts on the networks of production of AI The first paper is titled “Where does AI come from? A global case study across Europe, Africa, and Latin America” (by P. Tubaro, A.A. Casilli, M. Cornet, C. le Ludec and J. Torres Cierpe), appears in New Political Economy’s special issue on power in the digital economy. It examines AI supply chains, focusing on how and where companies recruit workers for data annotation and other essential tasks. While the organisation of AI data work varies, the reasons for these differences and the ways it dovetails with local economies were underexplored. This article clarifies these supply chains’ structures, highlighting their impacts on labour conditions and remunerations. Framing AI as an instance of well-known outsourcing and offshoring trends, analysis of AI data work in France, Madagascar, and Venezuela, highlights two main models: marketplace-like contracts and firm-like structures, with hybrid arrangements in between. Each model suits different AI tasks but all reproduce well-known patterns of exclusion that harm externalised workers especially in the Global South. We argue that worker reclassification alone is insufficient and advocate for a broader policy mix, including regulation of technology and development strategies at national and supra-national levels. You may find an open access version of the preprint of the paper here -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- The second paper is titled “The digital labour of artificial intelligence in Latin America: a comparison of Argentina, Brazil, and Venezuela” (by P. Tubaro, A.A. Casilli, M. Fernández Massi, J. Longo, J. Torres Cierpe and M. Viana Braz) appears in Globalizations’ special issue on AI in Latin America. It sheds light on the precarious, low-paid data workers supporting AI production in the region, often for foreign firms. Mixed-method data support a comparison of Argentina, Brazil, and Venezuela to reveal common patterns and regional differences. The analysis supports the conclusion that Latin America plays a key role in AI data work, with companies exploiting economic hardship to cut costs. In Venezuela and Argentina, crisis conditions foster an ‘elite’ of young, STEM-educated workers, while in Brazil, this work is done by lower-income groups. In all three countries, AI data work also blends with the informal economy, reinforcing inequality in this way. These findings call for more attention to AI labour conditions and advocate for policies to recognise data workers’ skills and support their career development, potentially enabling worker organisation. You may find an open access version of the preprint of the paper here