[{"pubDate":"Thu, 15 Oct 2026 08:26:22 +0200","url":"https://verfassungsblog.de/the-currently-uneven-intelligence-of-ai-in-comparative-constitutional-law/","titre":"The (Currently) Uneven Intelligence of AI in Comparative Constitutional Law","source":"Scoop.it - Documentation juridique (Stéphan Cottin)","id":3218421,"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"},{"titre":"New FTC warning letters cite unsupported Coronavirus-related health and earnings claims","url":"https://www.ftc.gov/business-guidance/blog/2020/04/new-ftc-warning-letters-cite-unsupported-coronavirus-related-health-earnings-claims","pubDate":"Mon, 05 Oct 2026 08:07:08 +0200","description":"New FTC warning letters cite unsupported Coronavirus-related health and earnings claims sgressin April 24, 2020 | 12:44PM New FTC warning letters cite unsupported Coronavirus-related health and earnings claims By Seena Gressin The FTC is not the pen pal you want if you operate a multi-level marketing company but aren’t closely monitoring your distributors. In its latest round of warning letters, the FTC warns ten MLM companies that they are responsible for the claims made by their participants. The letters direct the companies to report within 48 hours what actions they’ve taken to stop their distributors from claiming their products can treat or prevent Coronavirus disease, that MLM business opportunity participants are likely to earn substantial income, or both. The FTC says that the health and earnings claims are unsubstantiated and therefore violate truth-in-advertising laws. The products at issue are not scientifically proven to treat or prevent COVID-19, the disease that Coronavirus causes. The FTC previously has sent warning letters to companies about their Coronavirus-related health claims, but the new letters are the first to also target claims about potential business opportunity earnings. The letters come at a time when millions of people are out of work and facing financial challenges as a result of the pandemic. MLM companies rely on a network of independent distributors, sometimes called business opportunity participants, to buy and resell their products, often through direct person-to-person sales or online. MLMs typically offer participants a cut of the sales made by people the participant recruits to invest in the business opportunity. The new recruits then try to sell the products, and try to recruit more people to do the same. Most people who join MLMs make little or no money. According to the FTC, distributors of the MLM companies receiving the letters have posted promotional messages on Facebook, Instagram, and other social media sites. Health claims the FTC letters cite include: “STAY SAFE!! MAKE YOUR IMMUNE SYSTEM STRONG!!!” Standard coronavirus protection kit . #antiseptics and #immunity_support.” “HOW WILL YOU FIGHT OFF CORONA? USE NUTRABURST-CHAGA- .... #coronacure #coronaprevention ... #immunesupport #immunebooster ... #immunesystembooster” “Got the coronavirus heebeegeebees? Boost your immunity with this amazing deal!!!!” “... If interested to learn more or obtain oils or rollers Let me know A little extra protection can help #doterra #NursesCOVID19 #Dialysis #ImmunityBoosters #ImproveRespiratoryFunction” Earnings claims the FTC letters cite include: “...Living in quarantine and where 14 million people applied for unemployment just last week ... I’ll stick with the opportunity to change people’s lives ... turn a small investment into six figures .... #arbonne ... #quarantine #2020” “Need to make extra money? Find it difficult to pay your bills? Were you laid off/ #fired? Be your own Boss w/doTERRA essential oils. Msg me to achieve financial independence #laidoff #unemployed #cantpaymybills #cantpaymyrent #student #sales #sidehustle #makemoney #stayathomemom.” “[E]veryone’s getting stimulus checks right now... There is no better investment you could do... Take that money that you’re about to get back... figure out a way to make this happen tonight.” In the letters alleging unsubstantiated health claims, FTC staff reminds the companies that, under the FTC Act, claims that a product can prevent, treat, or cure a serious disease require the support of well-controlled human clinical studies. Because “no such study is currently known to exist” for the advertised products, the FTC says the companies “must immediately cease making all such claims.” In the letters alleging deceptive earnings claims, FTC staff reminds the companies that under the FTC Act, “claims about the potential to achieve a wealthy lifestyle, career-level income, or significant","id":3197413,"source":"FTC USA Business Blog Posts"},{"pubDate":"Thu, 23 Jul 2026 10:17:34 +0200","titre":"[Article] Document theory and document design","url":"https://www.arthurperret.fr/blog/2023-11-01-document-theory-and-document-design.html","id":3047509,"description":"This paper reports on an experiment which connects document design with document theory. Document design is about what documents should do. We use the example of document graphs and of Cosma, a visualization program created during the HyperOtlet research programme, to show how theory can inform design decisions and help conceptualize results. This paper is currently under peer review.