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
OkCupid and its owner Match Group reached a settlement with the Trump administration for not telling dating-app customers that nearly 3 million user photos were shared with a company making a facial recognition system. OkCupid also gave the facial recognition firm access to user location information and other details without customers’ consent, the Federal Trade Commission said. OkCupid and Match do not have to pay a financial penalty in a deal made with the FTC over an incident from 2014. OkCupid and Match did not admit or deny the allegations but agreed to a permanent prohibition barring them from misrepresenting how they use and share personal data, the FTC said yesterday. The FTC has been run entirely by Republicans since President Trump fired both Democratic commissioners. The proposed settlement requires approval from a judge and was submitted in US District Court for the Northern District of Texas. The dating-site company said it’s pleased to settle the matter without paying any fine. “While we do not admit any wrongdoing, we have settled this matter with the FTC with no monetary penalty to resolve an issue from 2014 and move forward,” an OkCupid spokesperson said in a statement provided to Ars today. “The alleged conduct at issue does not reflect how OkCupid operates today. Over the years, we have further strengthened our privacy practices and data governance to ensure we meet the expectations of our users.” Although a recent court ruling imposes limits on the FTC’s enforcement powers, that ruling applied only to the FTC’s in-house administrative process. The FTC can still pursue deceptive advertising claims in courts and seek financial penalties through court orders or settlements.
Mar 31, 2026 · via arstechnica.com
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Mar 31, 2026 · via media.stellantis.com
Maj. Anthony Munoz, center, receives recognition during the 153rd Logistics Readiness Squadron change of command ceremony at the Wyoming Air National Guard Base in Cheyenne, March 13, 2026. Munoz was recognized for his leadership and service as squadron commander. (U.S. Air National Guard photo by Maj. James Fisher)
| Date Taken: | 03.13.2026 |
| Date Posted: | 03.31.2026 12:30 |
| Photo ID: | 9592083 |
| VIRIN: | 260313-Z-WY307-1004 |
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| Size: | 3.59 MB |
| Location: | CHEYENNE, WYOMING, US |
| Hometown: | LARAMIE, WYOMING, US |
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Mar 31, 2026 · via dvidshub.net
Loughborough University physicists have developed a device that can process data that changes over time directly in hardware, rather than relying on software running on conventional computers. Their latest research, published in Advanced Intelligent Systems, suggests the approach could be up to around 2000 times more energy efficient than conventional software-based methods. “This is exciting because it shows we can rethink how AI systems are built,” said Senior Lecturer in Physics, Dr Pavel Borisov, who led the research team funded by the Engineering and Physical Sciences Research Council (EPSRC). “By using physical processes instead of relying entirely on software, we can dramatically reduce the energy needed for these kinds of tasks.” How it works Many real-world AI problems involve processing data that changes over time and identifying patterns to predict what happens next – for example in weather systems, biological processes or sensor data. A technique called reservoir computing is often used for this, where incoming data is transformed into a form that makes patterns easier to detect and predict, typically using software. The Loughborough device performs this type of computation directly in hardware. It is a type of memristor – an electronic component that can store information about past inputs – made of nanoporous oxide. It contains random nanopores that create multiple electrical pathways, and these pathways act like the hidden processing layer of a neural network, allowing the material itself to carry out part of the computation. Study findings In their study, the researchers showed that the device can process time-dependent data and, when its output is fed into a linear computer model, can be used to identify patterns and make short-term predictions. They tested the system using the Lorenz-63 system – a well-known mathematical model of chaos linked to the “butterfly effect”, where small changes can lead
Mar 31, 2026 · via lboro.ac.uk
Abstract Gait disorders can be caused by various reasons including cerebral palsy and neuromuscular diseases. 3D clinical gait analysis (3DGA) serves as a valuable clinical tool to assess gait abnormalities. Our previous research introduced a diagnostic tool that combines deep learning (DL) with 3DGA to evaluate childhood gait disorders. It achieved a promising diagnostic accuracy ranging from 0.77 to 0.99 across different pathologies. However, the lack of transparency limits their adoption. This research seeks to unveil the critical features that drive these models’ diagnoses, improving interpretability and building trust in their decision-making process. Four different explaining artificial intelligence (XAI) methods were applied: LIME, DeepLift, Integrated Gradients, and sequential feature selection. These methods were used on various network architectures applied to three separate datasets involving different gait disorders. The results show that the features highlighted by XAI methods are relevant and reliable for diagnostic purposes. Moreover, quantitative analysis indicated that Integrated Gradients is the most appropriate XAI method in this case. Further experiments demonstrate that using parts of the critical features can achieve better accuracy than using all of the features. In conclusion, this research identified the diagnostic basis of DL models through XAI methods, enhanced diagnostic accuracy by focusing on critical features, and improved clinicians’ understanding and trust in the DL diagnostic tool. Similar content being viewed by others Data availability The datasets used in this study are available from the corresponding author upon reasonable request. References Bax, M. et al. Proposed definition and classification of cerebral palsy, April 2005. Dev. Med. Child Neurol. 47, 571–576. https://doi.org/10.1017/S001216220500112X (2005). Kalia, L. V. & Lang, A. E. Parkinson’s disease. The lancet 386, 896–912 (2015). Deenen, J. C. W., Horlings, C. G. C., Verschuuren, J. J. G. M., Verbeek, A. L. M. & van Engelen, B. G. M. The epidemiology of neuromuscular disorders:
Mar 31, 2026 · via nature.com
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Mar 31, 2026 · via youtube.com
Angela Lipps, a 50-year-old grandmother from Tennessee, spent over five months in jail because an AI facial recognition tool told the police that she had committed crimes in North Dakota. When they realised their mistake, she was released over 1,600 kilometres away from her home with no money and no means to return. Lipps relied on charities to fly back to Tennessee, reports suggest. Police in Fargo, North Dakota, have admitted that an error happened, but when asked whether the department would issue an apology, officials did not give an affirmative answer. Lipps was first arrested in Tennessee on July 14, according to the Fargo Police Department and a verified GoFundMe page. She lost her home, her car, and even her dog because of the ordeal. Months ago, several cases of bank fraud had occurred in and around Fargo, according to police. They used an AI tool to scan surveillance footage, relying on their "partner agency’s facial recognition technology” and “additional investigative steps independent of AI to assist in identification”, CNN reported. The company was Clearview AI, a startup that had a database of billions of photos built by using images from all over the internet. The software incorrectly matched the suspect's face to Angela Lipps, even though she lived in another state and had never even been to North Dakota. An arrest warrant was issued, and Lipps was arrested in Tennessee while babysitting her grandchildren. She spent over three months in a Tennessee jail and was later extradited to North Dakota, according to Fargo police and her lawyers. Lipps recalled the extradition on her GoFundMe page, "It was the first time I had ever been on an aeroplane. I was terrified and exhausted and humiliated." It wasn't until December that her lawyer provided bank records and receipts showing she
Mar 31, 2026 · via wionews.com
What Wigs Can Teach Us About Irreversible Self Commodification Words: Nadia Trudel | Images collages from Tomihiro Kono It’s all relatively innocent, yet as facial recognition technology leads to criminal charges, secret public bathroom cameras torment, and the whims of strangers land civilians in deepfake pornography, anonymity finds a sense of urgency. Until I figure out how to become a lighthouse keeper, I can’t exactly scrub my extensive digital presence or abandon the city, really, I don’t want to. I must confess my reasons for writing professionally, posting thirst traps, or performing elaborate karaoke numbers are not purely artistic— so, fine, I’m an attention seeker! What’s a girl to do? ___STEADY_PAYWALL___ Well, what about wigs? There’s an inherent mystery to wigs and everything they hide, and they might be the answer to our current cultural identity crisis. Wigs can conceal balding, damage, vanity, a K-Pop idol’s comeback dye job, a popstar’s real self. No one understands that better than Tomihiro Kono, the iconic wig artist testing the possibilities of hair. The mystery of Kono’s wigs is less ‘Is that her real hair?’ and more ‘Who is that? What is that?’ This became especially evident to Kono’s frequent collaborator and partner, the visual artist Sayaka Maruyama. While editing photos for Kono’s latest book Space Creatures, she discovered that some of the wigs made faces undetectable to facial recognition systems. The book presents wigs created from 2022-2025 as selectable identities, alien organisms on display which blur the lines between human and inhuman, individual and system. “Classically, transformation is a before and after narrative. The ugly duckling becomes the swan. The end. This makes it difficult for many to understand folks whose gender identities or sexual orientations seem to be ever changing.” Kono explains in the book “This may be because the wig
Mar 31, 2026 · via polyesterzine.com
The Consumer Federation of America along with Ultraviolet Action led the following coalition letter from 64 civil society organizations around the country. The letter was sent today to Meta, Rayban parent company EssorLuxottica, the White House, the Federal Trade Commission, the Department of Justice, several key state Attorneys General, and leadership of relevant Congressional committees. The letter reads: The 64 undersigned civil society organizations vehemently oppose the 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,” we are committed to opposing this creepy and unacceptable escalation of surveillance on all fronts. Integrating facial recognition into Meta glasses is a dangerous and reckless plan that will harm both users and the entire public, regardless of whether they use Meta products, whether they consent, whether they are a public figure or layperson, and whether they even know about it. This move will endanger us all, and particularly give ammunition to scammers, blackmailers, stalkers, child abusers, and authoritarian regimes. It would also create acute and unnecessary national security risks. Even without this feature, Meta glasses create a world where people can be secretly recorded with both video and audio, with no control or awareness. Meta’s primary safety control, a barely noticeable LED that illuminates when users take photos or videos, is easily disabled and fails to provide reasonable transparency. Recent reporting has confirmed everything recorded with Meta glasses, often unknowingly even, could be seen by human moderators and data labelers throughout the world. Those recordings – many of which contain highly sensitive content – are at risk of being shared, sold, breached, and weaponized against people of all political parties,
Mar 31, 2026 · via consumerfed.org
How AI can help reduce food loss and waste in Nigeria’s tomato value chain Key takeaways - An AI image analysis system will evaluate tomato quality and quantify post‑harvest losses in Nigeria. - A pilot assessment in Jos, Nigeria, collected extensive visual and other data across multiple tomato varieties to train and validate the AI model. - The system will be scalable and applicable to other crops, with potential to reduce food waste, improve supply‑chain efficiency, and support smallholder farmers. Fruits and vegetables are essential to good nutrition, but in low- and middle-income countries (LMICs), people often do not consume enough of them, with most falling short of World Health Organization dietary recommendations. One key reason for this problem is supply: in many LMICs, a substantial amount of production is lost before it reaches consumers due to the widespread lack of appropriate post-harvest handling and cold chains, limiting produce availability and affordability. One challenge in reducing food loss and waste is understanding how quality deteriorates between farms and retail outlets. If weaknesses in specific links in the value chain can be identified, then solutions can be better targeted. To innovate on current, survey-based measures of food losses, we are developing an artificial intelligence-assisted, photo-based quality assessment in the tomato value chain in Nigeria. If successful, it will help us understand both the quality distribution (including the rate of spoilage) of tomatoes and the volume of loss in the tomato value chain through photos taken at wholesale and retail markets. The new approach will inform the selection of effective interventions to address food loss in several ways. First, it will improve the accuracy of food loss assessment. Second, it will be implemented in close to real time. Third, it is scalable, i.e., we can assess food loss simultaneously in many locations.
Mar 31, 2026 · via ssa.foodsecurityportal.org
Robotic microscope counting and photographing the smallest marine organisms The Askö laboratory is being equipped with an Imaging FlowCytobot, an autonomous, submersible microscope that can capture detailed images of the sea's phytoplankton communities. "When we’re done, you will be able to take it apart and put it back together, know when something is wrong, and, if necessary, repair it yourselves," says Thomas Fougere from McLane Research Laboratories, who will teach the research team from the Baltic Sea Centre how the new robotic microscope works. He removes the housing – a steel pressure chamber that allows the microscope to be submerged to a maximum depth of 40 metres. The hands-on learning begins with lifting the instrument. It is about one metre long and with the housing it weighs over 30 kilograms. An Imaging FlowCytobot (IFCB) is an automatic microscope designed to continuously sample seawater, detect and count plankton cells, and take high-resolution images. The instrument can be connected to machine learning–based software in order to automatically classify plankton images. The technology allows researchers to observe and quantify plankton communities with unprecedented temporal resolution. It is undeniably impressive, and the researchers are eager to see what this instrument will enable them to discover. Facts: Imaging FlowCytobot (IFCB) - The instrument is a submersible plankton microscope that can be configurated to autonomously draw in seawater, count and photograph cells. It can be connected to software that can be trained for machine learnt image recognition. - The microscope can take up to 30,000 images per hour. - Its optics are optimized for high-resolution images of particles sized 10-150 micrometres. - Particles are illuminated with a laser beam. Highly sensitive detectors measure fluorescence (from chlorophyll and other pigments) to distinguish living microorganisms from mineral particles, air bubbles, plastic fragments and other debris. If the signal
Mar 31, 2026 · via su.se
Abstract Three-dimensional voxel reconstruction based on stereo vision is essential for environmental perception in autonomous robots. Existing pseudo-LiDAR methods recover voxel grids by estimating depth maps and projecting them pixel by pixel, leading to high computational cost and boundary over-smoothing. To overcome these issues, we model the inverse relationship between 2D pixels and 3D voxel grids and propose a Self-supervised 3D Voxel Reconstruction network from Stereo vision (SVRS). Specifically, we represent a given 3D scene as multi-scale uniform cubic voxel grids and introduce a novel Pixel-Voxel Projecting Module (PVPM). PVPM projects the 3D position of each voxel grid into index coordinates, which establishes implicit stereo–voxel correspondences and converts dense pixel features into sparse voxel representations. Furthermore, we explore an Octree-based Encoder-Decoder Architecture (OEDA) to reconstruct multi-scale voxel grids via hierarchical spatial partitioning, avoiding the influence of dense empty grids on sparse occupied grids via a coarse-to-fine manner. Finally, SVRS leverages off-the-shelf stereo matching methods within a self-supervised training framework. Experiments on the DrivingStereo dataset show that SVRS achieves competitive reconstruction accuracy while improving inference speed by up to 14\(\times\) over advanced pseudo-LiDAR approaches and 3\(\times\) over real-time approaches. Data availability The data supporting the findings of this study are available within the paper. The associated pre-processed raw data is available and can be shared with interested parties upon reasonable request. Please contact the corresponding author for more information. Code availability Our code is avaliable on https://github.com/zzy729425207/SVRS. Please contact the corresponding author for more information. References Menze, M., Heipke, C. & Geiger, A. Joint 3d estimation of vehicles and scene flow (ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015). Guo, Y. et al. Deep learning for 3d point clouds: A survey. IEEE Trans. Pattern Anal. Mach. Intell. 43, 4338–4364 (2020). You, Y. et al. Pseudo-lidar++: Accurate depth for
Mar 31, 2026 · via nature.com
East TN grandmother mistakenly jailed for months after A.I. identified her as bank fraud suspect in North Dakota Angela Lipps said she was held in a Tennessee jail for 108 days before being extradited to North Dakota, where she was held until Christmas Eve. FARGO, N.D. (KVLY/WVLT) - An investigation is underway after an East Tennessee grandmother was identified as a bank fraud suspect in North Dakota by an artificial intelligence facial recognition system. Angela Lipps, of Elizabethton, said U.S. Marshals arrested her at gunpoint on July 14, 2025 while she was babysitting four children, adding that investigators used facial recognition software to match her to surveillance footage from a bank fraud case in Fargo, North Dakota, according to KVLY. Lipps said she was held in a Tennessee jail for 108 days before being extradited to North Dakota, where she was held until Christmas Eve. She was only released after her attorney pulled bank records showing she was in Tennessee at the time of the alleged crimes, resulting in the charges being dismissed. Since then, Fargo Police Chief Dave Zibolski has released several statements regarding Lipps’ arrest. He said West Fargo Police submitted a photo from a fake ID to the A.I. system that returned Lipps as a potential match and that he did not know she was in custody until Dec. 5. West Fargo disputed this, saying that while they submitted the photo, there wasn’t enough evidence to charge her. However, KVLY obtained an email showing that six detectives were notified of her arrest on July 14, the day of her arrest in Carter County. Lipps has hired two attorneys in the case, who said the department failed to conduct basic investigative steps before a warrant and charges were issued. They said their investigation remains ongoing and is focused
Mar 31, 2026 · via wvlt.tv