[{"pubDate":"Mon, 26 Oct 2026 07:55:47 +0100","url":"https://www.callacbd.ca/CALL-Blog/12197599","titre":"Update from the Knowledge Management Special Interest Group: Web Tracking Tools","source":"Canadian Association of Law Libraries / L'Association canadienne des bibliothèques de droit CALL/ACBD Blog","id":3241459,"description":"From time to time, this blog will highlight initiatives, ideas, or activities coming from members, committees or special interest groups (SIGs). Today: An Update About Web Tracking Tools , by Katie Thomas, Resource and Reference Librarian, Stikeman Elliott LLP (Toronto). The CALL Knowledge Management SIG had a session on November 30 th that looked at Web Tracking Tools. There are a lot of website tracking tools out there so it helps to have a guide to get you started. I based my presentation on the AALL Cool Tools (access only for attendees of American Association of Law Libraries 2021 conference) session where eight trackers were evaluated. In our session I asked the participants to write down sites they would like to track and they were all different. So, there is a need! First, what criteria should be used for evaluating? It depends. Every workplace is different and different things needs to be monitored. However, there are three that stand out. 1.   Ease of Use You don’t want to spend time setting things up and you want to understand WHAT you are setting up 2.   Price A lot of the tools are free and you can continue to have them free forever or, you can pay. Prices vary depending on functionality. 3.   Collaboration This allows you to work with colleagues tracking the same website. Say, if someone is on vacation. What to Track? Any number of things to track. Depends what you want to track! Here’s some that are popular: Prices (book, software, flights, stocks) Are they increasing / decreasing Text tracking Articles, preprints, legislation, case law, newspapers Competitors When does a competitor post commentary on a specific case Archiving Like Wayback, but you can customize for the websites you want Features? What do you want your tracker to do? Here are the popular features: Bulk adding of urls into the tracker Captcha bypass (or I am fed up counting fire hydrants) Password protected pages Proxy support, don’t want tracker to get blocked Tracking multiple elements on one page (there might be pricing data and text you want to capture changes to on the same page) Notification. Or would you prefer Slack, Discord, mobile N.B.: Be careful of “quick” and “instant” – understand what these mean (does quick mean within an hour or 5 minutes) Data export and reports Summary of web tracking tools"},{"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","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","source":"Scoop.it - Documentation juridique (Stéphan Cottin)"},{"titre":"FTC recaps consumer complaint data for 2017: Who’s on the list?","url":"https://www.ftc.gov/business-guidance/blog/2018/03/ftc-recaps-consumer-complaint-data-2017-whos-list","pubDate":"Tue, 06 Oct 2026 08:06:24 +0200","description":"FTC recaps consumer complaint data for 2017: Who’s on the list? lfair March 1, 2018 | 5:17PM FTC recaps consumer complaint data for 2017: Who’s on the list? By Lesley Fair Once bitten, twice shy. That fundamental principle of human behavior is why reputable businesses that work hard to earn consumers’ confidence should support the FTC’s ongoing efforts to fight fraud. According to the FTC’s 2017 Consumer Sentinel Data Book , consumers reported losing a total of $905 million to fraud last year. That’s close to a billion bucks people won’t be able to spend on legitimate products and services from credible companies. That figure is up $63 million from last year, although the total number of reports received from consumers is down from 2.98 million in 2016 to 2.68 million in 2017. Topping the list that no industry wants to be on is debt collection, making up 23% of the total number of complaints. But there are two caveats: 1) that number is down from 2016; and 2) the high number of debt collection reports was due in part to reports submitted by a data contributor who collects complaints via a mobile app. Second on the list is identity theft at 14%. The injury to consumers came in two equally unpalatable flavors. Credit card fraud was the most common manifestation. Tax fraud was next, but the glimmer of hope there is that the total number of tax-related identity theft complaints fell by 46%. Winners of the dubious bronze medal were imposter scams , with consumers reporting financial losses of a whopping $328 million. Imposters wear many masks: “I’m with [big-name tech company] and your computer is riddled with viruses,” “Help, Grampa! I’ve been arrested and need bail money,” and “We’re from [government agency] and we’ll arrest you if you don’t pay us today.” Nearly one in five consumers who reported an imposter scam said they lost money to the fraud. For the first time, the Consumer Sentinel Data Book breaks out fraud losses by reported age groups and here’s a result that may surprise you: Consumers in their 20s reported losing money to fraud more often than those over 70. Among 20-somethings who reported fraud, 40% said they lost money. Compare that with the over-70 crowd, only 18% of whom reported a financial loss. But there’s a troubling aspect to that surprising factoid. When older adults did report losing money to a scammer, the loss was much greater. For example, people 80 and older reported median losses of $1,092 compared to $400 for those in their 20s. Wire transfers continue to be scammers’ preferred payment method and in 70% of the complaints we received, the fraudster contacted the consumer by phone. The top states for reporting fraud were Florida, Georgia and Nevada, while Michigan, Florida and California had the most reports about identity theft, per capita. Stats cats tell us that they find our state-by-state data dive helpful, so we’ve created a new webpage to make it easier to evaluate the information. The bottom line for business people: Educate.   Use your status in the community to spread the word to employees, industry colleagues, and friends about the latest forms of fraud. One way to stay in the know: Sign up for scam alerts from the FTC. Cooperate.  If people you know suspect that their identity has been compromised, send them to identitytheft.gov to create a personal recovery plan. (And remember that your company may have a legal obligation to provide identity theft victims and law enforcers with transaction records related to ID theft.) Report.   When you spot a scam, report it to the FTC . We’re talking about fraud directed to consumers and questionable promotions targeting small businesses. Your reports have helped the FTC and other law enforcement agencies put together cases against the con artists behind bogus business directories, office supply flimflams, and other forms of B2B fraud. Consumer Sentinel is an online database available to civil","id":3199077,"source":"FTC USA Business Blog Posts"},{"source":"FTC USA Business Blog Posts","id":3198181,"description":"Keep FCRA in the foreground when the subject is background screening chundycz April 9, 2014 | 12:13AM Keep FCRA in the foreground when the subject is background screening By Lesley Fair When the talk turns to Big Data, part of the conversation is about all the public information available about people's lives – and how companies market it to prospective employers, landlords, etc.  Two cases just announced by the FTC  serve as a cautionary reminder to members of the industry that what they do may be subject to the long-standing consumer protections of the  Fair Credit Reporting Act (FCRA) .  InfoTrack, an Illinois company, and San Diego-based Instant Checkmate will be paying civil penalties to settle FTC lawsuits that they violated the FCRA.  Is it time for an FCRA refresher at your business? Instant Checkmate marketed its reports as a way for prospective employers and landlords to investigate applicants.  For example, the company advertised that one of the “GOOD REASONS to get instant criminal checks on anyone right now” was to “check out tenants before they rent.”  It also used a Google Ad Words campaign to make sure its site appeared when people searched for background checks on nannies, babysitters, maids, and housekeepers.  What kind of information would buyers get?  Current and previous addresses, birth certificates, arrest histories, and marriage and divorce records, to name just a few examples. InfoTrack offered similar services to employers nationwide, including background screening reports with people’s driving records, education and employment information, criminal histories, and even records from sex offender registries. How does the FCRA come in?  The law defines a “consumer report” as a “communication of any information” by a consumer reporting agency (CRA) that bears on a person’s “credit worthiness, credit standing, credit capacity, character, general reputation, personal characteristics, or mode of living” which is used (or expected to be used) as a factor in establishing their eligibility for credit, insurance, employment, or other reasons outlined in the law. According to the FTC, what Instant Checkmate and InfoTrack were doing triggered the FCRA.  For example, companies covered by the law must follow procedures to assure their reports are as accurate as possible, must take steps to see that those using their reports have permissible purposes for accessing them, and must provide required User Notices explaining key protections for consumers.  The law imposes special requirements when CRAs provide reports containing public record information that could have an adverse effect on a person’s ability to get a job.  In that case, the CRA must either: 1) notify the consumer that it’s reporting the information in the public record; or 2) maintain “strict procedures” – that’s the language in the law – designed to ensure the reported public information is complete and up to date. You’ll want to read the complaints for specifics of where the FTC says the companies fell short, but one example cited in the lawsuit against InfoTrack offers an object lesson on why FCRA protections are so important to consumers – and how the consequences can be devastating when companies don’t live up to the law.  According to the FTC, the reports InfoTrack provided to prospective employers included information about whether a job applicant was on the National Sex Offender Registry.  The employer would provide the first and last name and the date of birth to help InfoTrack with its search.  The problem was that before the fall of 2011, no date of birth was available for many names on the Registry.  If InfoTrack’s search found more than one person with the same first and last name, it reported a “possible match” to employers and gave them reports that included several different people with the","pubDate":"Mon, 05 Oct 2026 14:07:46 +0200","titre":"Keep FCRA in the foreground when the subject is background screening","url":"https://www.ftc.gov/business-guidance/blog/2014/04/keep-fcra-foreground-when-subject-background-screening"},{"source":"EDPB News","id":2780286,"description":"Brussels, 23 March - On 17 March 2026, the EDPB conference “Cross-regulatory interplay and cooperation in the EU: a data protection perspective” took place in Brussels. The event showcased high-level discussions, featuring contributions from representatives of key EU institutions, European Data Protection Authorities, academia and industry.  Key takeaways from the panel discussions Throughout the day, three panels were held, focusing on 1) data protection and competition , 2) the Digital Markets Act (DMA) and the GDPR , and 3) the Digital Services Act (DSA) and the GDPR .  During the first panel , speakers emphasised the critical need for cooperation between regulatory bodies in the fields of data protection and competition and shared views on what regulators in the two fields can learn from each other, especially in the aftermath of the Bundeskartellamt ruling. A speaker emphasized that regulators should align their approaches and recognize synergies between the two fields, such as protecting consumers and data subjects. Others pointed out that fixing harm to end users does not always solve competition issues, and that data protection should be considered in competition analysis only when relevant, on a case-by-case basis. Panellists also highlighted the need to cooperate not just on individual cases, but on broader concepts and legal principles.  In this context, the EDPB has recently agreed to develop joint guidelines with the European Commission to address the interplay between competition law and data protection. The discussions in the second panel centred on the joint guidelines on the DMA and the GDPR , which were developed by the European Commission and the EDPB and recently underwent public consultation. The joint guidelines are an unprecedented work and a good example of regulatory cooperation paving the way for further examples ahead, in line with the  EDPB Strategy 2024-2027 and  Helsinki Statement ’s objectives to strengthen cross-regulatory cooperation. A crucial goal of the guidelines is the development of a coherent and compatible interpretation of the DMA and the GDPR while respecting the regulatory competences. It was emphasised that these guidelines help break silos, strengthen consistency, and provide further clarity and legal certainty. All of this contributes to easier compliance, which is valued by stakeholders and increases trust. At the same time, certain speakers suggested improvements to the final version of the guidelines, bearing in mind the DMA should not be given primacy over the GDPR and that the measures companies have to comply with should be proportionate.  Other examples of cooperation in this domain were also mentioned, such as the participation in the High Level Group for the Digital Markets Act and specific instances of cooperation on concrete cases.  The last panel of the day explored how the Digital Services Act (DSA) and the GDPR interact. Panellists provided the example of the protection of minors: age   verification should be effective yet fully in line with data protection legislation.  They highlighted the growing need for strong coordination between the two frameworks, including the role of the European Board for Digital Services and other ways for the Commission and the EDPB to work together. A speaker also underlined the challenges and ongoing work on cross-regulatory cooperation from the perspective of a national authority. Another speaker urged regulators to work on building a fully coherent interpretation of the two frameworks and more globally of the digital legislation. Panellists also stressed that emerging technologies such as artificial intelligence are reshaping online ecosystems and, as a result, the role of the DSA and the GDPR.  The panel concluded with a clear message: online safety under the DSA and the lawful processing of personal data are two sides of the same coin, both calling for the DSA and the GDPR to be read coherently.  Highlights from the keynote speeches The event also","pubDate":"Tue, 24 Mar 2026 14:08:47 +0100","titre":"EDPB conference on cross-regulatory cooperation: what we learned","url":"https://www.edpb.europa.eu/news/news/2026/edpb-conference-cross-regulatory-cooperation-what-we-learned_en"},{"source":"Federal Trade Commission - Protecting America's Consumers","description":"The Federal Trade Commission today released the National Do Not Call Registry Data Book for Fiscal Year 2025 , which shows that, while overall complaints rose in FY 2025, unwanted calls remain about 48% lower than in FY 2021, when the FTC received approximately five million reports about unwanted calls. The FTC’s annual data book provides detailed information on robocall and live-caller complaints, the topics consumers report most often, and a state-by-state breakdown of registrations and complaints per 100,000 people. As in prior years, calls about reducing debt, imposters, and medical and prescription issues remained among the topics consumers most frequently reported in FY 2025. The National Do Not Call (DNC) Registry lets consumers add their phone numbers and opt out of most legal telemarketing calls. In FY 2025, more than 4.7 million additional phone numbers were added to the Registry, bringing the total to about 258.5 million active registrations as of September 30, 2025—an increase of roughly 1.9% over FY 2024 and nearly 6% higher than FY 2021. While DNC registrations grew modestly, complaints about robocalls, which involve a prerecorded message, continued to make up most DNC violation complaints. The data book also provides a state-by-state analysis of DNC registrations and complaints. As in previous years, New Hampshire continues to rank first in active DNC registrations per 100,000 people, followed by Connecticut, Vermont, Massachusetts, and Kansas. In FY 2025, the top five states reporting the most DNC complaints per 100,000 people were: Arizona – 1,028 complaints per 100,000 people; Tennessee – 1,017 complaints per 100,000 people; Nevada – 960 complaints per 100,000 people; Illinois – 943 complaints per 100,000 people; and Florida – 933 complaints per 100,000 people. The underlying data in the report is publicly available on the  FTC’s data portal . Information for consumers about the DNC Registry, company-specific DNC requests, and caller ID requirements is available on the FTC’s website. Consumers can sign up for the Registry for free at DoNotCall.gov and find information about  how to protect themselves from unwanted calls. To report unwanted telemarketing calls, consumers can file a complaint at DoNotCall.gov or call 1-888-382-1222. Complaints, registration data, and telemarketer access information are shared with law enforcement through the FTC’s Consumer Sentinel","id":2567732,"titre":"FTC Releases Annual Do Not Call Registry Data Book","url":"https://www.ftc.gov/news-events/news/press-releases/2025/12/ftc-releases-annual-do-not-call-registry-data-book","pubDate":"Fri, 12 Dec 2025 09:49:51 +0100"}]