[{"source":"EDPB News","id":2769535,"description":"Brussels, 19 March - The EDPB has launched its Coordinated Enforcement Framework (CEF) action for 2026*. Following a year-long coordinated action on the right to erasure in 2025 , the CEF's focus this year will shift to compliance with the obligations of transparency and information under the GDPR . The GDPR ensures that individuals are informed when their data is being processed (under Art. 12, 13 and 14). This right to be informed is a core element of transparency and ensures that individuals have more control over their data. Next steps During 2026, 25 Data Protection Authorities (DPAs) across Europe will take part in this initiative. They will look closely to assess the compliance of controllers with their transparency obligations under the GDPR. Participating DPAs will soon contact controllers from different sectors across Europe, either through enforcement actions or fact-finding exercises. In the latter case, they might also decide to undertake additional follow-up actions if needed. During the second half of the year, participating DPAs will share and discuss their findings together, with a view to aggregate the results of their national actions and generate deeper insight into the topic. A consolidated report will then be drafted and submitted for adoption by the EDPB, allowing for targeted follow-ups on both national and EU levels. Background The CEF is a key action of the EDPB under its 2024-2027 Strategy , aimed at streamlining enforcement and cooperation among DPAs. In 2023, the EDPB published the report on its first coordinated action on the use of cloud-based services by the public sector . In 2024, the EDPB also published the report on the outcome of the second coordinated action on the designation and position of Data Protection Officers . In 2025, the EDPB issued the report on its third coordination action on the implementation of the right of access . In 2026, the EDPB has adopted a report on its Coordinated Enforcement Framework (CEF) action on the right to be forgotten (Art.17 GDPR) .   Note to editors: *The Board selected this topic during its October 2025 plenary","pubDate":"Thu, 19 Mar 2026 14:12:59 +0100","titre":"CEF 2026: EDPB launches coordinated enforcement action on transparency and information obligations under the GDPR","url":"https://www.edpb.europa.eu/news/news/2026/cef-2026-edpb-launches-coordinated-enforcement-action-transparency-and-information_en"},{"url":"https://www.edpb.europa.eu/news/news/2024/edpb-opinion-ai-models-gdpr-principles-support-responsible-ai_en","titre":"EDPB opinion on AI models: GDPR principles support responsible AI","pubDate":"Wed, 18 Dec 2024 15:47:16 +0100","source":"EDPB News","description":"Brussels, 18 December - The European Data Protection Board (EDPB) has adopted an opinion* on the use of personal data for the development and deployment of AI models . This opinion looks at 1) when and how AI models can be considered anonymous, 2) whether and how legitimate interest can be used as a legal basis for developing or using AI models, and 3) what happens if an AI model is developed using personal data that was processed unlawfully. It also considers the use of first and third party data. The opinion was requested by the Irish Data Protection Authority (DPA) with a view to seeking Europe-wide regulatory harmonisation. To gather input for this opinion, which deals with fast-moving technologies that have an important impact on society, the EDPB organised a stakeholders’ event and had an exchange with the EU AI Office. EDPB Chair Talus said: “AI technologies may bring many opportunities and benefits to different industries and areas of life. We need to ensure these innovations are done ethically, safely, and in a way that benefits everyone. The EDPB wants to support responsible AI innovation by ensuring personal data are protected and in full respect of the General Data Protection Regulation (GDPR).” Regarding anonymity , the opinion says that whether an AI model is anonymous should be assessed  on a case by case basis by the DPAs. For a model to be anonymous, it should be very unlikely (1) to directly or indirectly identify individuals whose data was used to create the model, and (2) to extract such personal data from the model through queries. The opinion provides a non-prescriptive and non-exhaustive list of methods to demonstrate anonymity. With respect to legitimate interest , the opinion provides general considerations that DPAs should take into account when they assess if legitimate interest is an appropriate legal basis for processing personal data for the development and the deployment of AI models. A three-step test helps assess the use of legitimate interest as a legal basis. The EDPB gives the examples of a conversational agent to assist users, and the use of AI to improve cybersecurity. These services can be beneficial for individuals and can rely on legitimate interest as a legal basis, but only if the processing is shown to be strictly necessary and the balancing of rights is respected. The opinion also includes a number of criteria to help DPAs assess if individuals may reasonably expect certain uses of their personal data. These criteria include: whether or not the personal data was publicly available, the nature of the relationship between the individual and the controller, the nature of the service, the context in which the personal data was collected, the source from which the data was collected, the potential further uses of the model, and whether individuals are actually aware that their personal data is online. If the balancing test shows that the processing should not take place because of the negative impact on individuals, mitigating measures may limit this negative impact. The opinion includes a non-exhaustive list of examples of such mitigating measures, which can be technical in nature, or make it easier for individuals to exercise their rights or increase transparency. Finally, when an AI model was developed with unlawfully processed personal data, this could have an impact on the lawfulness of its deployment, unless the model has been duly anonymised. Considering the scope of the request from the Irish DPA, the vast diversity of AI models and their rapid evolution, the opinion aims to give guidance on various elements that can be used for conducting a case by case analysis. In addition, the EDPB is currently developing guidelines covering more specific questions, such as web scraping. Note to editors: *An Article 64(2) opinion addresses a matter of general application or produces effects in more than one Member","id":1792119}]