[{"url":"https://verfassungsblog.de/the-currently-uneven-intelligence-of-ai-in-comparative-constitutional-law/","source":"Scoop.it - Documentation juridique (Stéphan Cottin)","description":"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 can overcome many of these obstacles. AI models can search for and translate foreign-language sources, filter them, and convert the filtered information into a dataset. In doing so, AI offers the prospect of datasets — which previously required years of research and the efforts of numerous experts and research assistants to compile — being just a prompt away. However, whether AI models can generate comparative law datasets that are qualitatively comparable to human-coded datasets has not yet been addressed (although Guha et al provide an example for a broader legal benchmarking exercise).5) We therefore conducted our own benchmarking study.6) We found evidence suggesting that recent AI models may be able to code simple factual data, but they are likely unreliable substitutes for expert human coders when conceptual or interpretive judgment is required. The Benchmarking Project: Seven Coding Tasks, Four Datasets, Two LLMs In our project, we tested the ability of two large language models (LLMs) to code different types of information relevant to comparative constitutional law. We specifically assessed whether LLMs can reproduce information from four existing comparative constitutional law datasets, all of which were compiled through human coding and which served as a ‘ground truth’ for our exercise. From these datasets, we asked the LLMs to code seven variables, which can be thought of as seven tasks relevant to the creation of comparative constitutional law datasets. Each of these tasks is either a test of fact-finding or reasoning abilities. First, from the Executive Term Limit Evasion Dataset,7) we drew information on whether presidents in 106 presidential systems have evaded constitutionally mandated term limits between 2000 and 2019. The dataset includes one variable on whether presidents attempt to overstay past the end of their term. The second variable captures what strategies executives use for doing so, such as amending the constitution, replacing it with a new one, or asking the court to interpret term limits out of the constitution. While determining whether a president overstayed is a fact-finding task, assessing the strategy used to do so requires reasoning. Second, from the Comparative Constitution Making Dataset,8) we drew information on the process by which constitutions were adopted in democracies between 1900 and 2015. This dataset also includes fact-finding variables such as (1) whether citizens were involved in the formulation, discussion, or submission of reform proposals, and (2) whether citizens participated in popular referendums at any stage in the process. The dataset’s most important variable (3) captures whether constitutions reflect ‘plural elite agreement,’ that is, whether all relevant elite factions in society were involved and represented during the process. The recreation of this variable requires reasoning. Third, from the Characteristics of National Constitutions Dataset9), we drew on its coding of 43 first-generation constitutional","id":3218421,"pubDate":"Thu, 15 Oct 2026 08:26:22 +0200","titre":"The (Currently) Uneven Intelligence of AI in Comparative Constitutional Law"},{"source":"FTC USA Business Blog Posts","url":"https://www.ftc.gov/business-guidance/blog/2020/02/ftc-challenges-online-trading-academys-money-making-claims","description":"FTC challenges Online Trading Academy’s money-making claims lfair February 12, 2020 | 4:35PM FTC challenges Online Trading Academy’s money-making claims By Lesley Fair Ads for health products often target Boomer Consumers, but those aren’t the only claims pitched to people looking toward retirement. An FTC action alleges a company called Online Trading Academy has taken in more than $370 million by gearing its deceptive representations to that demographic. In addition, the complaint alleges violations of the Consumer Review Fairness Act. According to the FTC, the California-based operation, related companies, and three individual defendants advertise a “patented strategy” that consumers can apply “to any asset class including stocks, options, futures and currencies” to rake in big money. They claim their “training programs” – with price tags as high as $50,000 – will teach consumers how to “invest like the pros on Wall Street.” ”No matter your experience and goals,” people were told the defendants’ “proven” strategy was “designed to make money in any market, whether it’s going up or down.” The complaint recounts the process the defendants use to attract consumers through TV and radio ads, online promotions, and direct mail. First comes an in-person “preview” seminar. Next, people pay $299 for a three-day “orientation.” That’s where the defendants urge attendees to sign up for seminars costing thousands more. The defendants assign each attendee an “Education Counselor” – a/k/a salesperson working on commission – who follows up by phone or email. According to the complaint, the defendants train their Education Counselors not to “look like, act like or sound like, a traditional salesperson,” but instead to take on a “role” and lead consumers through “The Pain Funnel,” Q&A designed to overcome consumer qualms. To get people to sign up for more seminars, the defendants routinely offer to finance all or part of the cost with loans at 18%, with the promise to forgive the interest if the consumer pays the total off within six months. The FTC says that in some instances, the defendants lead buyers to believe they’ll be able to repay the loan quickly with money they’ll make using that “patented strategy.” So how much does Online Trading Academy say consumers will earn? A central theme of their pitch is “You don’t have to work on Wall Street to make money like Wall Street.” Infomercials feature purchasers claiming that “in three hours I made $12,000” or “I made $32,000 in less than seven trading days.” In a YouTube video, a retiree says he made “$40,000 in a single trade.” In addition, a speaker at a live event claimed consumers “could potentially make $50,000 of annual income with an account size as low as $5,000” because Online Trading Academy has “a patent on the fact that you can time the markets,” which “gives us the ability to know when to get in and when to get out, long-term and short-term.” Other speakers – including some of the named defendants – paint a picture of lavish lifestyles filled with international travel, a “super luxury car” every year, and homes in areas where kids have “live-in nannies, cooks, gardeners.” One speaker said the money he made using Online Trading Academy’s strategy allows him to live in an enclave so exclusive that a neighbor, a renowned Olympic gold medalist, taught his daughter to swim. But the facts paint a different picture. The FTC alleges the defendants don’t systematically collect data sufficient to substantiate their earnings claims. But even the evidence they do have gave them good reason to know their representations are deceptive. For starters, according to the FTC, the defendants know that few consumers who","titre":"FTC challenges Online Trading Academy’s money-making claims","id":3197414,"pubDate":"Mon, 05 Oct 2026 08:07:09 +0200"},{"titre":"Practice Fusion case suggests 6 health privacy pointers","id":3194910,"pubDate":"Sat, 03 Oct 2026 08:09:37 +0200","description":"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 prospective enrollees could search for doctors geographically or by specialty, read patient reviews of providers, and request appointments. But Practice Fusion had to ask itself a question familiar to many online companies: How do we get the content – in this case, patient reviews? That’s the focus of the FTC’s lawsuit. According to the complaint , Practice Fusion solicited data in a misleading way that led some patients to believe they were sending follow-up messages directly to their doctors about their diagnosis, medical treatment, prescriptions, etc. – and not contributing content to a public website. Practice Fusion, however, populated its new site with the information those people provided, some of which was highly sensitive. Here’s what happened. After appointments with their doctors, patients received emails titled “How was your visit?” The message continued, “To help improve your service in the future, please let us know how your visit went” and included a link with rating stars. The message ended this way: Thank you, Dr. [Name] In a footer, the message said “This email was sent to you by Patient Fusion®, a tool Doctor [Name] uses to deliver the highest quality of care to patients.” Below that in smaller print it said “Sent on behalf of Doctor [Name]’s office by: Practice Fusion.” If patients clicked the link, they were taken to a page that asked for feedback about things like how long they had to wait for their appointment, the doctor’s bedside manner, and whether their medical concern was addressed. There also was a text box where patients were invited to “leave a review for your provider.” Below that was a pre-checked box with the phrase “Keep this review anonymous.” What did some people put in that box? Highly sensitive information directly addressed to their doctors, not evaluations meant to be shared publicly. Here are just a few examples: “Dr [name], My Xanax prescription that I received on Monday was for 1 tablet a day but usually it’s for 2 tablets a day. I have not taken it to the pharmacy yet. Can I pick up a new one, or can I get a prescription called into a pharmacy? Thanks, [patient’s full name] “I called today and left a message regarding my daughter and no one has returned my call. I think she is depressed and has stated several times this week that she wishes she was dead. Could someone please call me [phone number]?” “The cefuroxime axetil does not seem to be doing anything for me. I did a little research and I think I have a yeast infection called candida. Not sure what to do about it yet. I guess I will first try to change my diet. Medication? [patient’s full name] “I would like to make an appointment for my back pain and possible shingles. Can you please call me @ [phone number]? Thank you! [patient's full name]” “I HAVE NO INFECTION [healthcare provider name].  EVERYTHING WENT","source":"FTC USA Business Blog Posts","url":"https://www.ftc.gov/business-guidance/blog/2016/06/practice-fusion-case-suggests-6-health-privacy-pointers"},{"description":"Is it amour – or scam-more? lfair February 11, 2021 | 12:17PM Is it amour – or scam-more? By Lesley Fair Online romance may begin with Panic! At The Disco’s High Hopes , but according to a new FTC Data Spotlight , all too often it ends with the conclusion that – to quote the J. Geils Band –  Love Stinks . Far be it from us to put a damper on Valentine’s Day, but reports to the Consumer Sentinel Network suggest that the injury inflicted by romance scams is on the rise. According to the new Data Spotlight , “For three years running, people have reported losing more money on romance scams than on any other fraud type identified in Sentinel. In 2020, reported losses to romance scams reached a record $304 million, up about 50% from 2019. For an individual, that meant a median dollar loss of $2,500.” Why the increase? The continued popularity of dating apps is part of the story, but the pandemic has played a part, too. For right now, the need for social distancing and masking makes the “meet cute” at the local coffee shop less likely. Of course, we’ve all heard heart-warming stories of romances that started on screen and blossomed IRL, but the Data Spotlight suggests that at least some of those digital dalliances may be hiding something more sinister. What does that have to do with you? We thought you’d never ask. Chances are that someone you know – a friend or family member perhaps – has a long-distance love they have yet to meet. A subtle word from you about the telltale signs of a romance scam could mean one less report to Consumer Sentinel in 2021 about a heart broken and a wallet emptied by a romance scammer. It can be a difficult topic to broach, but we have a sure-fire opener: “I just read the most fascinating thing on the website of the Federal Trade Commission, America’s consumer protection agency.” (What? That’s not your typical conversation starter? No Valentine for you!) Regardless of how you bring up the topic, Valentine’s Day offers a way to share some heart-to-heart hints. Romance scams can happen to anyone. According to the Data Spotlight, reports of money lost on romance scams increased for every age group in 2020. The 20-29 crowd saw the most notable spike, with the number of reports more than doubling since 2019. People between 40 and 69 were once again the most likely to report losing money to romance scams. And people 70+ reported the highest individual median losses at $9,475. Every picture tells a story, but some of those stories are fiction. Knowing that fetching photos can lure in a love, scammers routinely steal people’s snaps and pass themselves off as the person in the picture. To investigate their identity, try a reverse-image search of their profile picture or other photos they send you. If the picture is associated with another name or if the details don’t match up, you’re dealing with a scammer. Don’t mix romance with finance. We’ve always cautioned people not to wire money or send gift cards to online loves, but we have a new tip to add. Don’t let your guard down just because that special someone sends you money first. You can bet the money’s stolen. Next, they’ll want you to send it on for some cooked-up reason. This is how people become unwitting accomplices to money laundering. As soon as the requests for money start, it’s time to – depending on your musical generation – Go Your Own Way , bid them Bye Bye Bye , or make it clear that We Are Never Ever Getting Back Together . The FTC has more advice on how to spot a romance scam . ","id":3191273,"pubDate":"Thu, 01 Oct 2026 14:10:47 +0200","titre":"Is it amour – or scam-more?","url":"https://www.ftc.gov/business-guidance/blog/2021/02/it-amour-or-scam-more","source":"FTC USA Business Blog Posts"},{"titre":"CEF 2024: EDPB identifies challenges to the full implementation of the right of access","pubDate":"Mon, 20 Jan 2025 15:49:16 +0100","id":1857297,"description":"Brussels, 20 January - The European Data Protection Board (EDPB) has adopted a report on the implementation of the right of access by controllers . The report summarises the outcome of a series of coordinated national actions carried out in 2024 under the Coordinated Enforcement Framework (CEF). It lists the issues that were observed for some controllers, along with a series of recommendations to help them implement the right of access. A central element is controllers’ awareness of the EDPB Guidelines 01/2022 on data subjects rights – Right of access and whether these guidelines were followed in practice. EDPB Deputy Chair Zdravko Vukíc said: “The CEF is a valuable initiative that helps strengthen the cooperation among Data Protection Authorities (DPAs): by tackling selected topics in a coordinated fashion, they achieve greater efficiency and more consistency. How controllers implement the right of access lies at the heart of data protection and it is one of the most frequently exercised data subject rights.” Throughout 2024, 30 DPAs across Europe launched coordinated investigations into the compliance of controllers with the right of access, by opening formal investigations, assessing whether a formal investigation was warranted and/or carrying out fact-finding exercises.  A total of 1,185 controllers, consisting of small and medium-sized enterprises (SMEs) and big companies active in different industries and fields, as well as various types of public entities, responded to the action. Areas of improvement and main challenges The results suggest that more awareness raising about Guidelines 01/2022 is necessary , both at national and EU level, as the guidelines help controllers implement the right of access, explain how exercising this right can be made easier, and list the exceptions and limitations of the right to access. As a result of the 2024 CEF action, seven challenges were identified. One of them is the lack of documented internal procedures to handle access requests. In addition, inconsistent and excessive interpretations of the limits to the right of access were also observed, such as overly relying on certain exceptions to automatically refuse access requests. Another example is the barriers that individuals could encounter when exercising their right of access, such as  formal requirements or being requested to provide excessive identification documents. For each challenge identified, the report provides a list of non-binding recommendations to be taken into account by controllers and DPAs. Positive findings Despite the existing challenges, two thirds of participating DPAs evaluated the level of compliance of responding controllers with respect to the right of access from ‘average’ to ‘high’. One important factor identified as having an impact on the level of compliance was the volume of access requests received by controllers, as well as the size of the organisation. More specifically, large-sized controllers or controllers receiving more requests were more likely to reach a higher level of compliance than small organisations with less resources. Positive findings were observed across Europe. These include the implementation of best practices by controllers, such as user-friendly online forms enabling individuals to submit an access request easily as well as self-service systems to allow individuals to autonomously download their personal data in a few clicks and at any time. Background and next steps The CEF is a key action of the EDPB under its 2024-2027 Strategy, aimed at streamlining enforcement and cooperation among DPAs.  In the past three years, two previous CEF actions were carried out. The results of these national actions are aggregated and analysed together to generate deeper insight into the topic and allowing for targeted follow-up on both national and EU level. 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","source":"EDPB News","url":"https://www.edpb.europa.eu/news/news/2025/cef-2024-edpb-identifies-challenges-full-implementation-right-access_en"}]