: Brussels, 16 April – During its latest plenary, the EDPB has adopted Guidelines on processing of personal data for scientific research purposes . In addition, the Board has created a team to speed up the finalisation of the guidelines on anonymisation. The EDPB has also adopted two opinions on the two sets of the Europrivacy certification criteria for approval as European Data Protection Seals, one of which to be used as a tool for transfers. Many areas of scientific research rely on the processing of individuals’ personal data, and this has driven significant scientific breakthroughs that benefit society. The rise of new technologies, such as artificial intelligence, also contributes to scientific progress by enabling researchers to use and analyse data in innovative ways. The main objective of the EDPB guidelines on scientific research is to provide more clarity for researchers and make GDPR compliance easier , while ensuring the protection of individuals’ fundamental rights . “Scientific research can driv[...]
: This article belongs to the debate » Thinking Machines, Thinking Lawyers14 October 2026The (Currently) Uneven Intelligence of AI in Comparative Constitutional Law From Years of Research to a Single Prompt? Artificial intelligence (AI) has the potential to accelerate and improve the quality of research. This potential has inspired numerous projects exploring how AI could help scholarship on constitutional law. For example, there is research using AI to interpret constitutions,1) apply constitutional principles,2) and predict court rulings.3) Even the question of whether AI could improve the process of constitution-making has been studied.4) AI’s potential is particularly significant for comparative constitutional research. Systematically comparing legal systems requires locating sources from different jurisdictions, which are often difficult to access and only available in local languages. The creation of comparative legal datasets has thus involved considerable personnel, time, and financial resources. AI ca[...]
: The Federal Trade Commission’s initial findings from its surveillance pricing market study revealed that details like a person’s precise location or browser history can be frequently used to target individual consumers with different prices for the same goods and services. The staff perspective is based on an examination of documents obtained by FTC staff’s 6(b) orders sent to several companies in July aiming to better understand the shadowy market that third-party intermediaries use to set individualized prices for products and services based on consumers’ characteristics and behaviors, like location, demographics, browsing patterns and shopping history. Staff found that consumer behaviors ranging from mouse movements on a webpage to the type of products that consumers leave unpurchased in an online shopping cart can be tracked and used by retailers to tailor consumer pricing. “Initial staff findings show that retailers frequently use people’s personal information to set targeted, tailored prices for goods[...]