[Report] New DiPLab Report: Surveillance at Scale
DiPLab is releasing a report on the surveillance of data workers today. Entitled
“Surveillance at Scale : How AI training platforms gather personal data from
European workers” this report is a research project in collaboration with
Reversing.works and Intérêt à Agir, funded by the Digital Freedom Fund and the
European Artificial Intelligence & Society Fund.
International technology companies collect vast amounts of personal data from
European citizens. Public debate and policymaking often focus on data taken from
consumers through e-commerce, social media, or streaming platforms. Yet many
Europeans also use digital platforms to work and train AI systems.
Online freelance platforms are usually discussed in terms of low pay and
insecure “gigs”. Much less attention is given to another resource these
platforms extract from workers: their personal data. This report examines the
case of Outlier, a key data work platform for artificial intelligence.
Outlier is operated by Scale AI, a company that recruits workers to perform
tasks such as evaluating AI-generated responses, creating training data, and
improving AI models. This report shows how digital platforms rely on data
workers worldwide, including in the EU, to label, check, and organize training
data.
These data are harvested online. But Outlier also collects workers’ personal
data, financial records, biometric information, and even facial recognition
scans. This data is used for surveillance purposes, and probably for further AI
training purposes. Our interdisciplinary team analyzes the evidence collected
from qualitative interviews, network logs, and guidelines, to provide evidence
of a large-scale data collection process, through hidden trackers.
We also provide a legal analysis in terms of likely European law (GDPR) data
protection violations : the AI WORLd project reveals how the EU has become a
periphery for data extractivism in the production process of AI models. Ethical
AI requires the ethical treatment of the modern-day factory workers whose work
makes it possible. Beyond the economic exploitation data workers through
inadequate compensation, this report reveals the extraction of personal data for
purposes ranging from covert AI training to potential military applications.
These practices raise serious concerns about social justice, labor law, and
European data security.
Surveillance_at_scale_diplab_october_2026Download
To cite this report :
Thomas Le Bonniec , Antonio A. Casilli, Mathilde Abel, Simone Robutti, Gaetano
Priori, Donatella D., Paul S.
Surveillance at Scale : How AI Training Platforms Gather Personal Data from
European Workers
DiPLab / Reversing.Works report, 2026.