Skip to content
Chimera readability score 70 out of 100, Academic reading level.

Our key achievements since the beginning of 2026.
We continue producing real change by challenging governments and corporations that use data and technology to exploit us.
2026 has been intense! And we have achieved some wins that we are excited to share with you.
This spring, France’s highest administrative court upheld a data protection fine against an ad company we targeted; the UK government took steps to better regulate the use of facial recognition technologies (FRT); we were featured by well-known musicians; and we saw further initiatives to regulate the use of FRT in Brazilian schools, driven by our partners.
Below is a quick overview of the main results we produced or contributed towards this spring.
Spring 2026
France’s highest administrative court confirms fine against Criteo for GDPR violations
On 22 June 2023, following our complaint, the French data protection authority (CNIL) imposed a €40 million fine on Criteo, one of the world’s largest AdTech companies, for unlawfully collecting personal data.
In the same year, Criteo appealed the decision before the Conseil d’État (France’s highest administrative court).
In March 2026, the Conseil d’État rejected the appeal and confirmed the regulator’s decision. In its decision the Court reiterated that pseudonymised identifiers may constitute personal data under the GDPR where individuals remain identifiable.
What it means in short: AdTech companies are accountable for privacy violations.
UK Government takes steps to regulate secret facial recognition searches
Following advocacy undertaken by PI and Big Brother Watch, in 2025 the UK Home Office published new guidance on “Handling facial image search requests from law enforcement organisations”; and deployed a consultation to develop a new legal framework.
In 2026, we’ve seen further results of our action.
On 8 April 2026, the UK Parliament’s Office of Science and Technology published their Facial recognition technology in policing report, which references our work and summarises our concerns about FRT.
What it means in short: Although the UK Government has taken steps to regulate use of facial recognition technology by law enforcement agencies, we remain committed to challenging this problematic practice.
New steps on better regulation of FRT use in Brazilian schools
Research by our partner InternetLab has informed a Brazilian proposed law to regulate facial recognition and other biometric technologies in schools.
In March, the Brazilian Ministry of Education also published a Framework for the Development and Responsible Use of Artificial Intelligence in Education. The document reflects some recommendations from InternetLab and discourages the use of FRT in educational settings.
What it means in short: Facial recognition technology in schools should be banned. PI partner InternetLab’s advocacy drove practical action by governmental bodies in Brazil.
Our demands in the new release by Massive Attack
In April 2026, the legendary English trip hop collective Massive Attack released its new single Boots on the Ground.
In this anti-war, anti-authoritarian song, the band criticises excessive militarisation of abusive state power. The official video features Privacy International as one of the sources that inspired the song’s manifesto.
What it means in short: We are proud to be a trusted source of information on data and technology for artists and cultural content producers around the world.
Please consider supporting us as we continue our work to protect privacy and human rights around the world.

Sentinel — Human

Confidence

The text exhibits strong, consistent human voice and purposeful rhetorical framing, suggesting it is written by an advocate or organization rather than a purely synthetic model.

Signals Detected
low severity: Moderate sentence length variance; naturalistic use of emphasis and abrupt transitions (e.g., '2026 has been intense!'); demonstrates human rhythm.
low severity: Strong idiosyncratic voice and passionate framing ('We continue producing real change,' 'we are proud to be a trusted source') which counters the purely balanced, dispassionate tone typical of pure AI synthesis.
low severity: The structure follows a clear cause-and-effect pattern (Advocacy leads to Legal Action leads to Policy Change), which is common in advocacy reporting, but the specific sourcing and linking of disparate events suggest human curation.
low severity: Specific legal details (dates, court names, fine amounts like €40 million) are cited precisely. While this is consistent with LLM capability, the pattern of citing real-world events makes the overall claim less likely to be outright confabulation.
Human Indicators
The text contains subjective, activist language that injects specific emotional emphasis inconsistent with objective, neutral reporting.
The shift between high-level advocacy statements and detailed factual citations demonstrates a stylistic choice common in human editorial work.