: 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% ove[...]
: 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 du[...]
: 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 [...]
: 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[...]