The European Data Protection Board (EDPB), formerly known as the European Data Protection Supervisor (EDSA), has released two new guidelines aimed at clarifying the requirements for data anonymization and web scraping used in training generative AI models. The first guideline provides a framework for assessing whether personal data has been sufficiently anonymized, emphasizing that this assessment must be made from the perspective of the entity using the data. It outlines three specific criteria that must all be met for data to qualify as anonymous. The second guideline addresses the risks associated with web scraping, particularly when it involves processing personal data without the knowledge of the individuals concerned. The EDPB stresses that the General Data Protection Regulation (GDPR) applies in such cases, highlighting potential violations of fundamental rights.
Bias read (Center): The article presents factual information about regulatory developments by the EDPB, focusing on technical and legal standards rather than taking a partisan stance. While the subject matter relates to data protection law and digital governance, which are politically sensitive, the framing remains non
Why these scores (Factual 85 · Objective 90): The article accurately reports on the EDSA's new guidelines regarding data anonymization and web-scraping, aligning with cross-source consensus. It presents the legal framework and implications without bias, maintaining a neutral tone.





