: Introduction There are several ways of conceiving heritage conservation. For the purpose of this paper, we need to start from the premise thatwhat we call “heritage” is a dynamic, evolving reality, and that a historic district such as “Old Québec” can undergo structuring transformations rooted in a process of heritage conservation. In Old Québec, the process of conservation —also referred to “patrimonialization”—has not received the attention it deserves. This paper aims to shed light on the process of functional requalification has undergone by Old Québec since the 1950s, within the broader context of its transformation into a historic district. It is based on discourse analysis (Berthold, 2013), supported by a diversifie body of documentation, including primary sources, such as archival documents, press reviews, geospatial and land-use data, and official reports. It is complemented by a body of scholarly literature devoted to Old Québec since the 1970s. First, we explain the sociohistorical processthat l[...]
: 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[...]
: New data from the Federal Trade Commission reveal that people reported losing a staggering $3.5 billion to imposter scams in 2025, with reported losses increasing nearly three times since 2020. FTC data also show that people reported imposter scams more than any other fraud category in 2025—nearly one in three fraud reports were about imposter scams. These scams lured consumers through text, phone, email, social media, search engine results and other means. Some of the costliest impersonation scams start with a fake security alert, often from a bank. People are convinced to move money to “protect” it, with their losses often limited only by their available funds. Last year, people reported losing nearly $1 billion to business impersonators with the highest reported losses to bank impersonators—and about $920 million to government impersonators, up from $866 million and $789 million respectively in 2024. The FTC has seen a striking increase in reported fraud losses to all types of fraud—about $16 billion was [...]
: The FTC's Google settlement: What's the buzz? wfg-adm109 April 1, 2011 | 4:28PM The FTC's Google settlement: What's the buzz? By Lesley Fair “Sweet! Check out Buzz.” “Nah, go to my inbox.” That was the intriguing choice facing Gmail users last year when Google launched Google Buzz, its social network. But according to a settlement announced this week by the FTC, the company violated the privacy promises it made to Gmail users and used deceptive tactics in the Buzz rollout. The story starts with Google’s privacy policy. From October 2004 until October 2010, Gmail users were told, "Gmail stores, processes and maintains your messages, contact lists and other data related to your account in order to provide service to you." On the subject of the choices users had about the use of their personal information in all of Google’s products, including Gmail, the privacy policy said, "When you sign up for a particular service that requires registration, we ask you to provide personal information. If we use this inform[...]