About AI Privacy Report
AI privacy regulation, compliance, and enforcement, sourced.
What this site covers
AI Privacy Report follows privacy law as it collides with machine learning. It tracks enforcement actions, statutory obligations and the engineering practices that are supposed to satisfy them, with attention to the distance between what a company says about privacy and what its filings and product behaviour show.
- Anonymisation, pseudonymisation, de-identification tooling and differential privacy
- Training-data provenance, lawful basis and the anonymity of trained models
- Automated decision-making duties: GDPR Article 22 and California's ADMT rules
- Subject access and deletion applied to model outputs
- GDPR and EU AI Act enforcement against AI products, including Article 50 transparency duties
19 articles are published so far. New ones are announced on the RSS feed.
Where to start
Two questions bring most readers here. If the question is which software to use, the comparison of data anonymization tools covers the commercial and open-source market together and the open source shortlist goes deeper on the free options, including database and test-data masking. If the question is whether the output of that tooling escapes the regulation, that is settled in pseudonymization versus anonymization under GDPR.
For a deployment-specific answer rather than a general one, the applicability wizard maps a described deployment to the GDPR, EU AI Act and US state obligations that attach to it. It runs entirely in the browser and stores nothing, and every result it produces cites the provision it came from.
How these articles are produced
Articles here are researched from primary sources: vendor and project documentation, published standards and specifications, research papers and preprints, and measurements published by whoever took them. Drafts are produced with AI assistance and then edited against those cited sources before anything is published.
No article on this site is based on first-hand testing in a private lab, and nothing here should be read as a measurement report of its own. Where a number appears, it comes from a source that is named, so you can check the original instead of taking this site's word for it.
Everything is published under a single editorial byline. That byline is a publishing identity for the site, not a claim about a named individual, and it does not carry professional credentials.
Corrections
Corrections are welcome. If something here is wrong, out of date, or attributed to the wrong source, email hello@aiprivacy.report with the page address and what it should say. Substantive corrections are made in the article itself rather than quietly dropped.
How this site is funded
This site currently runs no affiliate links, sponsored posts, display advertising or paid placements. If that changes, the disclosure page will say so.
Contact
Email: hello@aiprivacy.report
Site: aiprivacy.report
Published by: AI Privacy Report Editorial
See also the privacy policy, the terms of use, and the editorial disclosure.