Cybersecurity pro demonstrates IAD importance for facial recognition at RSAC 2026 Jake Moore believes the identity stack is broken. But instead of just willing his belief into reality, the global cybersecurity advisor for ESET demonstrated why his assertion has truth. At the RSAC 2026 Conference in San Francisco, Moore delivered an entertaining and enlightening session titled “Facing Reality: Hacking Facial Recognition” that illuminated how AI tools are affecting security. His demonstration clearly illustrated the importance of biometric Presentation Attack Detection (PAD) and Injection Attack Detection (IAD). He did this by conducting tests and experiments. Opening a bank account using an AI-enabled false identity, for example, or tricking a facial recognition system into believing that he is Tom Cruise. He conducted these tests — with the aid of a lawyer friend to avoid legal trouble – on institutions that the general public interacts with. In Moore’s opinion, the market has adopted facial recognition technology “a little bit too early.” He wanted to make a point about how exposed people have become in an era of affordable facial recognition and off‑the‑shelf AI tools. Prior to ESET, Moore worked for 14 years in the UK police’s Digital Forensics and Cyber Crime Unit. Experimenting with bank accounts, live CCTV feeds, with Amy’s legal help So, with the blessing of a lawyer friend named “Amy,” he ran a simple experiment. He uploaded Amy’s face into PimEyes — a public facial‑search engine — to see where her image appeared online. The results, he told the audience, were a reminder of how easily a stranger could gather material for social engineering attacks without technical know-how. From there, Moore escalated the demonstration. He bought a pair of Meta Ray‑Ban smart glasses, the kind with a built-in camera and real‑time information features. Then he paired them with a colleague
Apr 2, 2026 · via biometricupdate.com
Abstract Every day, we encounter numerous photographs of faces, whether on social media, television, or smartphones. From an evolutionary perspective, faces are particularly salient and tend to be remembered, likely due to their relevance for survival and social interaction. However, not all face photographs have the same likelihood of being remembered. While some research has explored the features that contribute to face memorability, this area remains largely uncharted. Here, we propose a fast approach to control the memorability of face images. Our approach begins by identifying a hyperplane in the latent space of StyleGAN that separates high and low memorable images. We then adjust the memorability of an image by shifting it along the positive or negative direction of this hyperplane’s normal vector. Analyzing the StyleGAN augmented latent space reveals the impact of individual face attributes on an image’s memorability. A unique aspect of our work is that it is successful on both real and synthesized face images. Furthermore, our method is not restricted to face photographs; we show its success in modifying the memorability of images of various categories. Finally, we propose a new multi-level memorability modification technique, which assists in modifying the memorability scores while maintaining the identity of the face images. Similar content being viewed by others Data availability The codes and models trained and/or analyzed during the current study are publicly available in https://github.com/mamyou96/FaceMem.git. References Isola, P., Xiao, J., Torralba, A. & Oliva, A. What makes an image memorable? In CVPR 2011 145–152 (IEEE, 2011). Bainbridge, W. A., Isola, P. & Oliva, A. The intrinsic memorability of face photographs. J. Exp. Psychol. Gen. 142(4), 1323–34 (2013). Isola, P., Xiao, J., Parikh, D., Torralba, A. & Oliva, A. What makes a photograph memorable?. Pattern Anal. Mach. Intell. IEEE Trans. 36, 1469–1482 (2014). Newman, A. et al. Multimodal
Apr 2, 2026 · via nature.com
Abstract 3D digital image correlation (3D-DIC) is a pivotal non-contact full-field measurement method in experimental mechanics. Traditional 3D-DIC systems rely on multi-camera setups, which face challenges such as high hardware costs, complex synchronization, and limited stereo matching accuracy. Single-camera stereo vision mitigates synchronization issues but introduces inherent resolution loss, compromising measurement accuracy. To address this, we propose LaESR-Diff, a super-resolution diffusion model integrating an optimized enhanced super-resolution generative adversarial network (ESRGAN) with Laplacian noise scheduling. The LaESR-Diff model employs an optimized ESRGAN to generate conditional inputs, enhancing residual-in-residual dense blocks (RRDBs) and incorporating a zero-mean normalized cross-correlation (ZNCC) loss term for speckle image fidelity. A Laplacian noise schedule replaces traditional linear/cosine schedules to preserve high-frequency textures. A dual evaluation system combines general image metrics and 3D-DIC-specific accuracy metrics. Experiments on the “Stereo-DIC Challenge 1.0” dataset show LaESR-Diff achieves PSNR = 26.13 and SSIM = 0.7423 at × 8 scale, reducing surface height and displacement errors by 58.6% and 67.2%, respectively, compared to bicubic interpolation. Laboratory tensile tests confirm LaESR-Diff reduces full-field displacement error in a quadrangular-prism-based virtual stereo system (QVSS) from 4.25% to 1.71%, nearing the basic stereo system (BSS) accuracy. The results demonstrate that the proposed method effectively compensates for the accuracy degradation caused by resolution loss in single-camera systems. This study provides an effective solution for single-camera 3D-DIC accuracy enhancement, with potential applications in other image-based non-contact measurement fields. Data availability The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request. References Strungar, E. M., Yankin, A. S., Zubova, E. M., Babushkin, A. V. & Dushko, A. N. Experimental study of shear properties of 3D woven composite using digital image correlation and acoustic emission. Acta Mech. Sin. 36, 448–459. https://doi.org/10.1007/s10409-019-00921-7 (2020). Luo, H., Yu, L. & Pan, B. Design and
Apr 2, 2026 · via nature.com
FTC Says OkCupid Shared Three Million User Photos with Facial Recognition Firm Dating app OkCupid shared nearly three million user photos with a facial recognition company without informing users, according to a settlement with the U.S. Federal Trade Commission (FTC). Match Group, which owns platforms including Tinder, OkCupid, and Match.com, agreed to resolve an FTC lawsuit alleging that it improperly shared millions of users’ personal data — including photos used to train facial recognition technology — without consent. According to a report by The Verge, OkCupid and its parent company did not admit wrongdoing as part of the settlement, but agreed not to make similar alleged misrepresentations in the future. The FTC’s complaint states that after facial recognition company Clarifai contacted one of OkCupid’s founders in 2014, the app provided access to nearly three million user photos, along with demographic and location data. At the time, Clarifai was developing image recognition systems that rely on large datasets to train algorithms, a practice that has become widespread but has also raised concerns about consent and transparency in the AI industry. The FTC alleged that sharing the data violated OkCupid’s own privacy policy because users were not given an option to opt out. It also claimed that OkCupid and Match later attempted to obscure their relationship with Clarifai when The New York Times inquired about the arrangement for a story. OkCupid’s settlement does not include financial penalties and does not directly address the data allegedly shared with Clarifai. However, the companies agreed not to misrepresent how they collect or share user data and will be subject to compliance monitoring, which could lead to further action if violations occur once the order is approved by a court. FTC Consumer Protection Bureau Director Christopher Mufarrige says in a statement that the settlement shows the
Apr 2, 2026 · via petapixel.com
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Apr 1, 2026 · via youtube.com
In an era defined by rapid technological advancement, facial recognition search is emerging as a powerful tool that is reshaping how individuals and organizations identify, verify, and interact with digital information. By leveraging advanced algorithms and artificial intelligence, facial recognition search enables systems to analyze facial features and match them against vast image databases with remarkable speed and accuracy. Facial recognition search works by mapping key facial landmarks—such as the distance between the eyes, nose shape, and jawline—to create a unique digital signature. This data is then compared with stored images to identify or verify a person’s identity. The facial recognition search technology has seen significant improvements in recent years, driven by innovations in machine learning and neural networks, making it more reliable and scalable across industries. One of the most impactful applications of facial recognition search is in security and law enforcement. Authorities can use the technology to locate missing persons, identify suspects, and enhance public safety measures. Airports, transportation hubs, and large public venues are increasingly adopting facial recognition systems to streamline identity verification and reduce wait times, while also improving overall security. Beyond security, facial recognition search is gaining traction in the commercial sector. Businesses are integrating the technology into customer experience strategies, enabling personalized services, seamless check-ins, and secure transactions. For example, some financial institutions and mobile applications now use facial recognition as a form of biometric authentication, offering users a convenient and secure alternative to passwords. The technology is also proving valuable in digital content management. Facial recognition search allows users to locate specific individuals within large photo libraries or video archives quickly. This capability is particularly useful for media companies, law firms, and organizations that manage extensive visual data. It enhances efficiency and reduces the time required to organize and retrieve information. Healthcare is
Apr 1, 2026 · via markets.financialcontent.com
By: Ethan Kramer FARGO, N.D. (Valley News Live) – A Tennessee grandmother spent months behind bars after facial recognition technology wrongly identified her in a bank fraud case, and now one of her attorneys is speaking out about a potential lawsuit. Angela Lipps was jailed in Tennessee, then transferred to North Dakota before the charges were ultimately dismissed. Fargo Police have not apologized and say their investigation is still ongoing. Eric Rice, one of Lippsâ attorneys, said they are gathering records from multiple agencies as they consider legal action. âWeâve requested a number of records, some agencies have provided them, others have not but weâre trying to have the best look before we move forward,â Rice said. An email obtained by Valley News Live showed six Fargo detectives were notified of Lippsâ arrest in July â nearly five months before Fargo Police say they knew she was in custody. âItâs my understanding that the fugitive task force in the Fargo area was notified that Angela was arrested. So at least some local enforcement appeared to have been notified that Angela was arrested around the time she was,â Rice said. Charges against Lipps were dismissed on Christmas Eve after her attorney produced bank records proving she was in Tennessee at the time of the alleged crimes. Rice said dismissal is not the same as being cleared. âItâs not like the department issued a letter of apology or said Angela youâre clear we wish you well â instead the department appears to say it was dismissed without prejudice and that Angela remains a person they are investigating. I havenât seen any evidence in the file that Angela is connected to this in any way,â Rice said. Rice said they are pursuing potential civil rights claims, though no lawsuit has been filed. He
Apr 1, 2026 · via wdayradionow.com
H&M’s image recognition tool is coming to more markets, as the retailer seeks to elevate consumers’ shopping experiences worldwide. On Oct. 26, H&M announced plans to expand its Image Search tool—a digital asset that helps consumers locate clothes they find on social media or other online platforms and buy similar items in the H&M mobile app. The tool, which first launched in May and is currently available in 13 markets, will become more available to global consumers in the coming months. [Read more on H&M’s latest moves: H&M Bets on These Sustainability Innovators to Help it Dial Back Fast Fashion’s Impacts] Powered by self-learning algorithms, Image Search lets consumers move directly from online style inspiration—including social media posts and digital screenshots—to making purchases via the H&M mobile app. To use the tool, consumers can feed a picture of a style they like to the app and the app will instantly present similar products available on H&M’s website. Consumers can access the special feature by clicking the camera icon in the top right corner of the H&M mobile app. Joining H&M’s other digital features, including #HM Gallery and My Style, Image Search takes a consumers’ accessory, apparel or footwear search to the next level by providing them with convenient, personal product choices on H&M’s site. With the tool, consumers can ramp up their wardrobes while having unlimited access to H&M’s other digital resources on their phones—including the retailers’ 23 million Instagram followers.
Apr 1, 2026 · via wwd.com
EXCLUSIVE: Exposing the FBI’s Human Experimentation Studies "Who has my saliva from ten years ago?" On the FBI studies involving serial killers, twins, facial recognition, and genetics “You’re only going to create a real problem for an FBI employee if you call ‘em direct this way.” Senior FBI official Thomas Gregory Motta was upset that I dared to call him to talk about the bureau’s hidden experiments on humans. He joined the bureau in 1998 and was promoted to the FBI’s senior ranks nearly 20 years ago. During his tenure, the bureau has grown proficient at snooping on journalists — as documented in a secret government report published by Racket — without having to face their questions. Motta is a decorated FBI veteran, credited with an intelligence community award in 2007 for modernizing the American government’s most important foreign espionage tool and having worked on the secretive “going dark” national surveillance program. After internal criticism surfaced more than a decade ago involving the bureau’s experiments on humans, the FBI put Motta in charge of an internal team revamping its approach to human subjects research. In 2023, Motta delivered a presentation detailing the government’s work on secret human experiments, going all the way back to a catastrophic project that saw a CIA scientist drugged with LSD plunging to his death from a hotel room window 70 years earlier. The government labeled his presentation, “NOT AUTHORIZED FOR POSTING ON THE INTERNET.” Here is Motta’s presentation to the Public Responsibility in Medicine and Research conference, posted on Racket in full, with only Motta’s personal information removed: Among the types of human experiments undertaken by the FBI, as detailed by Motta, are research involving facial recognition studies and algorithm testing, genetics, violent extremism, interrogation science, and more. What is the bureau’s “oldest, continuous human
Apr 1, 2026 · via racket.news
Figures Abstract Aiming at the imbalance between accuracy and real-time of existing fatigue driving detection models, and the accuracy is lower in low illumination, an LDIE-FDNet (Lightweight Dynamic Image Enhancement-Enabled Real-time Fatigue Driving Detection Network) is designed. Enhance the image by MSR-LIENET (Multi-Scale Retinex-Based Low-Light Image Enhancement Network); Through GSConv_C3k2 module, lightweight design, efficient capture of remote context information, reduction of parameters and calculation, and variable convolution kernel design and feature segmentation and mosaic are adopted to enhance feature extraction ability; Through DHFAR-Net (Dynamic Hierarchical Feature Aggregation and Reconstruction Network), combined with DySample and SDI (Semantic and Detail Infusion), the semantic information and detail information are enhanced. Through multi-level feature fusion, the model can better capture the information of various targets, reduce the situation of missing detection and false detection, thus improving the overall detection effect, and does not need high-resolution boot features as input. It has lower reasoning delay, memory occupation, floating-point operation times, and parameter number; Through the PIoU (Powerfull-IoU) loss function, IoU is calculated pixel by pixel, which can better optimize the positioning of rotating rectangular frames and deal with high aspect ratio targets, reduce the overlap of background areas and improve the detection effect. Finally, a fatigue driving detection model including maximum closing time (MCT) and maximum yawn duration (MYD) is proposed. Experiments show that mAP increases by 0.6% to 99.2, Params reduce by 24%, GFLOPs increase by 14.3% and FPS increases by 23.1% on the YawDD data set. On the DMS data set, mAP increased by 0.7% to 92.9, Params reduce by 24%, GFLOPs increased by 14.3%, and FPS increased by 20.5%. The proposed method enhances both accuracy and efficiency in fatigue detection while effectively balancing precision with real-time performance. Citation: Dong C, Zhang T, Liu J (2026) LDIE-FDNet: Lightweight dynamic image enhancement-enabled real-time fatigue
Apr 1, 2026 · via journals.plos.org
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Apr 1, 2026 · via youtube.com
Axis Bank Introduces Aadhaar Face Authentication for Mobile Number Updates on App The move aligns with a broader shift toward digital identity verification in India, where Aadhaar-based authentication, including facial recognition, is increasingly being used for secure and remote validation. Axis Bank has launched a new digital feature that allows customers to update their registered mobile number using Aadhaar-based face authentication, removing the need to visit a branch. The service is available through the bank’s mobile banking app and is being positioned as a self-service, do-it-yourself (DIY) journey. With this, Axis Bank becomes one of the first major banks in India to integrate UIDAI’s face authentication system for such a critical customer update process. The move aligns with a broader shift toward digital identity verification in India, where Aadhaar-based authentication, including facial recognition, is increasingly being used for secure and remote validation. How the process works The update process is designed as a three-step flow within the app. Users first enter the new mobile number they want to register. They are then required to complete Aadhaar Face Authentication, which involves capturing a live image using the front camera. This image is matched with the photograph stored in the Aadhaar database to verify identity. Advertisement Once authentication is successful, an OTP is sent to the new mobile number, which needs to be validated to complete the update. This combination of biometric verification and OTP ensures compliance with two-factor authentication requirements, which are increasingly being adopted across digital financial services. Advertisement Why Aadhaar face authentication matters Face authentication is emerging as a key alternative to traditional verification methods such as OTPs and physical KYC. Unlike SMS-based authentication, which can be vulnerable to SIM swap and phishing attacks, biometric verification is tied directly to the user’s identity. The system works by matching a
Apr 1, 2026 · via republicworld.com
UNITED STATES SECURITIES AND EXCHANGE COMMISSION WASHINGTON, D.C. 20549 FORM 6-K REPORT OF FOREIGN PRIVATE ISSUER PURSUANT TO RULE 13a-16 OR 15d-16 OF THE SECURITIES EXCHANGE ACT OF 1934 For the month of April 2026 Commission File Number 001-41631 Xiao-I Corporation (Translation of registrant’s name into English) 5/F, Building 2, No. 2570 Hechuan Road, Minhang District Shanghai, China 201101 (Address of principal executive offices) Indicate by check mark whether the registrant files or will file annual reports under cover of Form 20-F or Form 40-F: Form 20-F ☒ Form 40-F ☐ INFORMATION CONTAINED IN THIS FORM 6-K REPORT Xiao-I Corporation (the “Company”) is furnishing this Report on Form 6-K to report the issuance of a press release providing an update on the final ruling by the Supreme People’s Court of the People’s Republic of China rejecting Apple’s appeal to invalidate certain patents of the Company’s variable interest entity involved in its patent infringement lawsuit against Apple. A copy of the press release is attached hereto as Exhibit 99.1. EXHIBIT INDEX | Exhibit No. | | Description | | 99.1 | | Press Release | SIGNATURES Pursuant to the requirements of the Securities Exchange Act of 1934, the registrant has duly caused this report to be signed on its behalf by the undersigned, thereunto duly authorized. | Date: April 1, 2026 | Xiao-I Corporation | | | | | | By: | /s/ Hui Yuan | | | | Name: | Hui Yuan | | | | Title: | Chief Executive Officer | Exhibit 99.1 Xiao-I Corporation Provides Further Update on Shanghai Xiao-I’s Patent Infringement Lawsuit Against Apple Shanghai, China, March 31, 2026 Xiao-I Corporation (NASDAQ: AIXI), a leading developer of AI solutions, today provides an additional material update on its variable interest entity (VIE)’s ongoing patent infringement lawsuit against Apple
Apr 1, 2026 · via stocktitan.net
Topics: Police, Artificial Intelligence, US News, GoFundMe Topics: Police, Artificial Intelligence, US News, GoFundMe A woman ended up spending five months in jail after a police department's facial recognition technology wrongly identified her as a criminal they'd been on the hunt for. In July 2025, police turned up to Angela Lipp's rental home in Tennessee and reportedly arrested her at gunpoint in front of the four young kids she had been babysitting. Lipp went on to be extradited to Fargo, North Dakota, some 1,000 miles away from her home, in October after spending more than 100 days in Tennessee county jail, per a GoFundMe page that's been created for her. According to Lipp, while she was in custody in Tennessee nobody interviewed her before being jetted to Fargo, which marked the first time Lipp had ever been on a plane. Advert Allegedly, she was walked through the airport while handcuffed in front of everyone, leaving Lipp feeling 'terrified and exhausted and humiliated'. Once she arrived in Fargo she was finally given access to a lawyer who used her bank records to prove that she was at home in Tennessee at the time of the crimes Lipp had been accused of committing. Police were under the impression that the mother-of-three was linked to several instances of bank fraud that had occurred in and around Fargo (where Lipp insists she's never visited before). The AI facial recognition pinned Lipp to the crimes because she had 'similar features' to a suspect cops had been searching for. Lipp says that her lawyer didn't sit down with a detective to plea her case until December 19. "It took five minutes for the whole thing to fall apart," she wrote. "Five minutes." Then, on December 24, the charges Lipp had been facing were dismissed after she
Apr 1, 2026 · via unilad.com
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Apr 1, 2026 · via youtube.com
Courtesy of the artist, √K ContemporaryArt & Photography / ListsArt & Photography / Lists5 of the most boundary-pushing artists at Art Basel Hong KongThe Asia debut of Zero 10 brings together facial recognition artworks, epic sculptures about humanity’s future, and digital paintings that reach deep into our pastShareLink copied ✔️March 31, 2026March 31, 2026TextThom Waite An art collector in his 60s or 70s stands in a gallery booth, staring at a machine-generated image of a mysterious, alien figure in an almost-empty room, flanked by what appear to be two security cameras. The collector looks confused. The collector is confused, according to a large, LED display beside the painting, which it decides based on a snapshot of his face captured by the cameras. He’s also interested, amused, and doubtful to varying degrees, with each emotion scored out of 100. Altogether, the screens and cameras form Mirror Stages, an artwork by BottoDAO, presented in the Zero 10 sector at this year’s Art Basel Hong Kong. Confused, interested, amused, and doubtful seem like appropriate adjectives to describe the response to Zero 10 as a whole in 2026. This year, the sector of Art Basel dedicated to exploring the intersection of art and technology made its Asia debut, following a much-talked-about premiere in Miami (the one with the billionaire’s faces on robot dogs). “Digital is unambiguously the format of the moment,” curator Eli Scheinman told Dazed. “In all of our lives, there’s an increasing ubiquity of technologies – algorithms, models, agents – that reconstruct our relationship with ourselves and what it means to have human agency. Art Basel exists to amplify voices and artistic practices that interrogate those relationships and help us, as viewers of their artworks, resolve some of those questions.” Technically, BottoDAO might have been the most innovative artist to exhibit at
Mar 31, 2026 · via dazeddigital.com
HARRISONBURG, VA (James Madison University) — James Madison University has received the Highly Established Action Plan Seal from the ALL IN Campus Democracy Challenge, recognizing the university’s commitment to promoting nonpartisan democratic engagement ahead of the 2026 election cycle.
Over 120 higher education institutions nationwide received the recognition for creating a thorough action plan for democratic engagement. According to the Strengthening American Democracy Action Planning Guide rubric, which assesses campuses on strategy, teamwork and quantifiable objectives for boosting student engagement in elections, JMU received 32.5 points out of 36 available points from a panel of expert peer reviewers.
“Being awarded the Highly Established Action Plan Seal for the third time acknowledges the deliberate efforts of the Madison Center to promote nonpartisan civic engagement. Our goal is for every JMU student to feel informed and ready to take part in the democratic process,” said Kara Dillard, executive director of the Madison Center for Civic Engagement in a release.
Mar 31, 2026 · via rocktownnow.com
I Hope You’re Ready to Spend Months in Jail After AI Facial Recognition Tools Frame You for a Crime Both the U.S. and U.K. have already seen people arrested and held after mistaken AI facial recognition results. Photo via Unsplash, Maksim Chernishev Splinter AIToday in techno-dystopia news: You may have recently come across the story of a Tennessee woman named Angela Lipps, who spent more than five months in jail, first in Tennessee and then North Dakota, seemingly based on nothing more than the fact that she was mistakenly identified as a person of interest in a fraud investigation, in a state she says she’s never been to, by AI facial recognition tools used by police. It’s an infuriating story, although like so many tales in this mode, the more one looks into it, the more confusing and frustrating the lack of pertinent details becomes. What is not in dispute, though, is the fact that AI facial recognition tools are what ultimately pinned responsibility on Lipps, an incident that she says has effectively ruined her life as she weighs the possibility of a massive civil suit. And she’s not the first to suffer such an indignity–she’s just on the vanguard of a new victim class, such as the man in the U.K. who was arrested on suspicion of burglary due to facial recognition tools, despite the fact that he was 100 miles away from where the burglary actually occurred. For now, though, let’s focus on the case of Angela Lipps, which the woman’s lawyers have described as “the longest AI-related wrongful detention case in U.S. history” to date. It involves Lipps spending more than five months behind bars after her July, 2025 arrest, until her charges were dropped in December on Christmas Eve, thanks primarily to what certainly looks like
Mar 31, 2026 · via jezebel.com
LOS ANGELES — For San San Tint, a typical morning is a delicate high-stakes exercise in clinical precision. Feeding her 89-year-old father, U Kyi Wong, is not just about nutrition; it is about survival. “For a chronic dementia patient like my father, you have to be incredibly careful to prevent choking,” San San explains. “When I give him water, I have to know exactly when to add the thickener to prevent asphyxia. Most hired caregivers don’t have the patience for this level of detail; they often quit after a week. That is why I had to become his full-time caregiver myself.” San San’s story is the face of a burgeoning national reality. To care for her father who suffers from advanced dementia and Parkinson’s disease, San San made the ultimate professional sacrifice. In 2023, she shuttered her profitable restaurant to step into a role that has no days off and no salary. The Caregiver’s Marathon: Data of Disruption According to recent data from AARP, caregiving has transitioned from a temporary family duty into a multi-year “marathon.” The average duration of care now spans 5.5 years, with 29% of caregivers providing support for five years or more—a sharp increase from 24% just five years ago. While 51% of caregivers report that their role gives their life a sense of meaning, the financial and emotional toll is staggering. For working caregivers, the strain is a “double burden.” Data shows that 31% of working caregivers have exhausted their short-term savings to manage care expenses, compared to 20% of those not in the workforce. In San San’s case, her father’s dementia was compounded by a condition known as the “Levodopa Paradox,” where the very medication intended to treat Parkinson’s causes vivid hallucinations. “When I ran the restaurant, the income was stable,” San San says.
Mar 31, 2026 · via americancommunitymedia.org
Washington, D.C. — A diverse group of 64 civil society organizations, led by the Consumer Federation of America & UltraViolet Action, sent a letter to Congress, enforcement agencies, Meta leadership, and EssilorLuxottica—the owners of Ray-Ban and Oakley and the partners and developers of Meta glasses—vehemently opposing plans to integrate facial recognition features into Meta glasses. Despite Meta’s stated intention to release the feature during a “dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns,” the coalition made clear it is committed to opposing this “creepy and unacceptable escalation of surveillance on all fronts.” The letter warns that integrating facial recognition into Meta glasses is a dangerous and reckless plan that will harm both users and the entire public, regardless of consent or awareness. It would endanger everyone, particularly by giving ammunition to scammers, blackmailers, stalkers, child abusers, and authoritarian regimes, while also creating acute and unnecessary national security risks. Even without facial recognition, Meta glasses already allow people to be secretly recorded with video and audio, with minimal transparency and significant risks that sensitive content could be accessed, shared, or weaponized. The groups range from large unions like AFT to state advocacy groups like Louisiana Progress and New Jersey Citizen Action. Privacy organizations like EPIC and legacy advocacy groups like Public Citizen and Consumer Reports were among the many organizations committed to this effort. The organizations stress that this outcome is not inevitable and not acceptable. They urge Meta to reverse course and commit to using every lever possible to hold the company accountable if it moves forward with this dangerous and reckless product.
Mar 31, 2026 · via consumerfed.org