: 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, safe[...]
: While the development of urban public transport (UPT) is considered a priority to promote the ecological transition, the Covid-19 health crisis has affected its operation. It results from constraints on supply, made necessary by travel restrictions and limitations on economic activity during periods of confinement. Existing literature has focused mainly on the use of different modes of transport, changes in mobility practices and the way governments managed the crisis. This article focuses instead on the effects of covid-19 on the supply and financing of UPT, and analyses whether this crisis has given rise to new dynamics in the mobility organising authorities (AOMs). Usingdata from 95 AOMs (i.e. 35% of all AOMs in 2019) and a survey of some 39 AOMs (14%), three main results are established. First, there is a big fall in fare revenue, whatever the category of AOM in France. However, due to the small proportion of UPT funding paid for by users, this decline is easily offset by a variation in the mobility tax[...]
: Speaking of Spokeo: Part 2 — The company’s allegedly bogus endorsements wfg-adm109 June 13, 2012 | 12:25PM Speaking of Spokeo: Part 2 — The company’s allegedly bogus endorsements By Lesley Fair The lawsuit against data broker Spokeo is the FTC’s first Fair Credit Reporting Act case addressing the collection of online info — including data from social networking sites — when used in the context of employment screening. But that’s not the only way the Spokeo settlement touches on social media. The FTC also charged that Spokeo violated Section 5 by having employees post glowing recommendations of the company’s services on news and technology websites without disclosing their true identity. Perhaps just the work of a rogue cubicle occupant? No, said the FTC. According to the complaint , Spokeo directed its employees to write the comments. Spokeo managers then edited what they wrote and had the staffers post the endorsements using account names provided by Spokeo. The purpose, says the FTC, was to give read[...]
: Practice Fusion case suggests 6 health privacy pointers lfair June 8, 2016 | 9:01AM Practice Fusion case suggests 6 health privacy pointers By Lesley Fair Combine two of the most talked-about consumer protection topics – health privacy and consumer-generated online content – and what do you get? A proposed FTC settlement with Practice Fusion, the largest cloud-based electronic health records company in the country, and six compliance tips for others in the industry. One of San Francisco-based Practice Fusion’s primary products is an electronic records system for outpatient providers. In 2009, the company launched “Patient Fusion,” an online portal where patients whose providers were already using Practice Fusion could view or download their health information or transmit it to another provider. Patient Fusion also let patients send and receive secure messages from their providers. Fast forward several years and the company decided to expand Patient Fusion to include a public directory where current and prosp[...]
: 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[...]