Technology
Facial recognition jails innocent grandmother, attorney says
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Angela Lipps says she has never been to North Dakota. She says she had never even been on an airplane. That didn’t stop the U.S. marshals from showing up at her home in Tennessee and arresting her.
Lipps, a 50-year-old grandmother of five from Elizabethton, Tennessee, was taken into custody in July 2025 in connection with a bank fraud case more than 1,000 miles away in Fargo, North Dakota. She was not released until around Christmas Eve, meaning she spent more than five months in custody before the case was dismissed.
Investigators had used facial recognition software to compare surveillance images from the bank fraud case with photos of Lipps from her driver’s license and social media. The result, according to her defense attorney, was a case that never should have gone this far.
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HOW SURVEILLANCE TECH LED POLICE TO ACCUSE THE WRONG PERSON
A Tennessee grandmother says a facial recognition match helped lead to her arrest in a North Dakota bank fraud case. (Fargo Police Department)
How facial recognition led police to Angela Lipps
The case began with bank fraud reports in Fargo and nearby West Fargo. Police were looking for a suspect who allegedly used a false military ID to take money from accounts.
Detectives reviewed surveillance footage and used facial recognition technology to search for a possible match. Then-Fargo Police Chief Dave Zibolski has described the tool as “an AI function through the North Dakota State Intelligence Center.”
Jay Greenwood, the Fargo defense attorney appointed to represent Lipps, joined our “CyberGuy Report” podcast at CyberGuyPodcast.com to explain how a facial recognition lead helped set the case in motion. His warning was simple: police can use facial recognition as a tool, but they still need to verify what the technology claims. Greenwood said the images used in the case were not exactly crystal clear.
“They had security footage of some terribly placed security cameras from above,” Greenwood said. “And they had a couple of still images, poor still images from these cameras that they sent to a company to do facial recognition.”
That search pointed investigators to Lipps. Greenwood said detectives then looked at her social media pages and moved forward with the case. “They did not do any other investigation prior to her arrest in bringing her to North Dakota,” Greenwood said. Police then sought an arrest warrant. Lipps was arrested in Carter County, Tennessee, and held as a fugitive from justice.
Grandmother arrested at gunpoint while babysitting
Lipps says U.S. marshals arrested her at gunpoint while she was babysitting young children. She was taken to a local jail in Elizabethton, Tennessee, while she waited to be extradited to North Dakota.
Greenwood said Lipps told authorities from the beginning that she had never been to North Dakota. “She told them I’d never been to North Dakota. I’ve never been on an airplane,” Greenwood said. “She really doesn’t leave the 100- to 200-mile radius of Elizabethton ever.”
Still, Lipps remained in jail for months. Fargo Police Chief Travis Stefonowicz told CyberGuy that the department’s review found Lipps was arrested in Tennessee on July 14, 2025, and held on a probation violation.
“Tennessee authorities notified the Cass County Sheriff’s Office on October 20, 2025, that Ms. Lipps had a waiver of extradition to North Dakota and was available for transport to the Cass County Jail,” Stefonowicz said.
Stefonowicz said Fargo Police could not determine from available information why Lipps remained in Tennessee custody for as long as she did before being transported to North Dakota.
“We have been unable to determine based on available information if the length of time Ms. Lipps was in jail in Tennessee before being transported to North Dakota was due to serving time for a probation violation or if it was because she fought extradition,” Stefonowicz said.
Greenwood said she fought extradition and waited in Tennessee before she was taken to North Dakota around Halloween. “Gave her her first ever plane ticket, ever plane ride,” Greenwood said. “And she spent it in custody, flying to North Dakota.”
A woman who says she had never flown before got her first plane ride in custody, headed to fight charges in a state she says she had never visited.
Fargo police respond to facial recognition concerns
Stefonowicz was appointed interim chief on March 30 after former Chief Dave Zibolski retired on March 27. Fargo Police said Zibolski’s retirement was family-related and unrelated to this case. Stefonowicz was officially selected as Fargo’s next police chief during the Fargo City Commission meeting on May 11.
In a statement to CyberGuy, Stefonowicz said the arrest warrant reflected that prosecutors and a judge had found probable cause.
“The Fargo Police Department takes the civil rights and due process of all individuals involved in our investigations very seriously. Regarding the case of Ms. Lipps, the issuance of an arrest warrant indicated that the Cass County State’s Attorney and a judge determined probable cause existed for the charges,” Stefonowicz said.
He said the charges were dismissed without prejudice, meaning they could be refiled if additional investigation supports doing so.
“This remains an ongoing investigation, and we are still working to verify and corroborate information to determine, definitively, who was and was not involved in this home equity loan bank fraud scheme,” Stefonowicz said.
Fargo Police also clarified that the department does not own facial recognition technology or contract directly with vendors that provide it.
“However, there are state and national law enforcement intelligence centers that incorporate facial recognition technology and are used by agencies across the country, including in our state,” Stefonowicz said. “On occasion, FPD investigators may submit inquiries to those intelligence centers, in order to help generate leads through facial recognition for potential suspects or persons of interest in local investigations.”
That distinction matters. Fargo Police says it does not run facial recognition in-house, but investigators may still use outside intelligence centers to generate leads. That puts the focus back on what guardrails exist before those leads support an arrest.
That response adds an important caveat. Lipps’ defense says she was wrongly accused and later cleared by basic records. Fargo Police say the case remains open and investigators are still trying to determine who was involved.
AMAZON ADDS CONTROVERSIAL AI FACIAL RECOGNITION TO RING
Lipps says she lost her home, car, reputation and dog after spending months behind bars in a case tied to facial recognition technology. (Antranik Tavitian/Bloomberg via Getty Images)
Basic records helped clear Angela Lipps
Once Greenwood got involved, he started looking for proof of where Lipps had been during the alleged bank fraud. The answer came from everyday records. Her family sent bank records showing activity near her home in Tennessee during the same period Fargo authorities claimed she was in North Dakota.
The records showed her depositing Social Security checks and making local purchases. “She was in Elizabethton and the surrounding communities depositing her Social Security checks,” Greenwood said. “Buying Ubers, cigarettes, gas, all that stuff.”
Greenwood said he forwarded the records to the state’s attorney. After a police interview, the case was dismissed. Lipps was released on Christmas Eve.
Fargo Police gave CyberGuy a more detailed timeline. Stefonowicz said Lipps made her first court appearance in North Dakota on Oct. 31, 2025, but the detective assigned to the case did not learn she was in custody in North Dakota until Dec. 5.
“Because she had legal representation, attorney consent was required before our detectives could interview her,” Stefonowicz said. “An interview was first granted by Ms. Lipps’s defense attorney on December 19, 2025.”
After that interview, Stefonowicz said Fargo Police determined that further investigation was needed.
“On December 23, 2025, the FPD detective, the Cass County State’s Attorney and the presiding judge mutually agreed to dismiss the charges without prejudice to allow for additional investigation,” Stefonowicz said. “Ms. Lipps was subsequently released from the Cass County Jail on December 24, 2025.”
By then, she says the damage was already done. She says she lost her home, her car, her reputation and her dog while she was locked up.
Fargo police adopted a facial recognition policy
Fargo Police said it conducted a comprehensive internal review after the case. Stefonowicz said former Chief Dave Zibolski addressed the investigation at a March 24 news conference.
“With respect to this case, we have conducted a comprehensive internal review,” Stefonowicz said. “During a news conference on March 24, former Chief of Police Dave Zibolski addressed areas where our initial investigation could have been more complete and emphasized that further work is required to fully understand who was and was not involved in this scheme.”
Fargo Police has since adopted a formal facial recognition technology policy. Stefonowicz said the department did not previously have a standalone policy because Fargo Police does not conduct facial recognition analysis, provide that service to other agencies or maintain in-house facial recognition technology.
“We have since adopted a formal policy for facial recognition technology (FRT) use for our agency,” Stefonowicz said.
He said the case prompted Fargo Police leadership to revisit that approach.
“This case has prompted FPD leadership to re-evaluate that approach related to having a specific FRT policy,” Stefonowicz said. “FPD Policy 610, which formally establishes parameters and expectations for the use of FRT, was published as of Wednesday, March 25.”
That policy change matters because it shows the case prompted Fargo Police to formalize how investigators may use facial recognition leads, even when the department does not run the technology itself.
Why facial recognition mistakes are so dangerous
Facial recognition can help generate leads. However, critics warn that it can also produce false matches, especially when image quality is poor or the system compares faces against massive databases.
Some systems pull from public photos online, including social media images and other public-facing photos. That means many people may appear in search databases without realizing it.
Greenwood said police need to treat the technology as one investigative tool, not a shortcut around basic detective work.
“I’ve told numerous people, like, it’s a tool,” Greenwood said. “It should be one of the tools that law enforcement can use.”
Then he explained what needs to happen next. “They’ve got to learn to use the other tools to verify what they’re being told by this machine,” Greenwood said.
That is the key issue. A facial recognition hit should push investigators to ask more questions. It should never end the conversation.
Other facial recognition wrongful arrest cases
Angela Lipps is not the first person to say facial recognition helped put them in handcuffs. Other cases have involved people wrongfully arrested after software produced a mistaken match. Civil liberties groups have also warned that facial recognition systems can perform worse on some groups, including darker-skinned men and women.
That raises a serious question for every police department using this technology. What safeguards exist before a person gets arrested? A bad match on a screen can turn into a search warrant and jail time. For Lipps, that risk became painfully real.
9 ONLINE PRIVACY RISKS YOU PROBABLY DON’T KNOW ABOUT
The Federal Building and U.S. Courthouse in Fargo, North Dakota, is pictured next to Angela Lipps’ mugshot. Lipps, a Tennessee grandmother, says she spent more than five months in custody after facial recognition linked her to a North Dakota bank fraud case. (Carol M. Highsmith/Buyenlarge via Getty Images / Fargo Police Department)
Ways to stay safe from facial recognition mistakes
Most people will never face anything like this. Still, the Lipps case shows how your digital footprint can follow you in ways you may never expect.
1) Say nothing until you speak with a lawyer
If law enforcement contacts you about something you did not do, do not try to talk your way out of it. Stay calm and ask for an attorney. Even innocent people can say something that gets misunderstood.
2) Keep records that show where you were
Bank transactions, receipts, phone location records, work schedules and medical appointments can help establish where you were on a certain date. You do not need to track every moment of your life. However, basic digital records can help if a serious mistake ever happens.
3) Review your public photos online
Check what photos you post publicly. Also, look at tagged photos from friends and family. Your face can appear online even when you did not post the picture yourself.
4) Remove personal information from data broker sites
Data broker sites collect and sell personal details. A data removal service can help remove your information from these databases. You can also do it manually, but it takes time, and the information can reappear. Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting CyberGuy.com.
5) Ask police and lawmakers about police AI rules
Your city or state may already use facial recognition tools. Ask what rules police must follow before they use an AI match in a criminal case. At a minimum, departments should require independent evidence before an arrest.
What facial recognition mistakes mean for you
AI can help investigators move faster, but speed creates risk when people skip basic steps. Police still need records, timelines and common sense. Facial recognition can make mistakes. It can misread poor images. It can point to the wrong person. And when that happens, the consequences do not stay on a screen. They show up at someone’s front door.
Kurt’s key takeaways
This case should make every police department pause. Facial recognition may help find leads, but it should never be enough to upend someone’s life. Angela Lipps says she lost months behind bars for a crime she did not commit in a state she had never visited. Her attorney says basic records later helped prove she was in Tennessee. That should have happened before spending months in jail. Greenwood summed up the case this way: “Ridiculous case never should have happened.” Technology can help police solve crimes. But when a computer match replaces real detective work, innocent people can pay the price. For the full conversation with Angela Lipps’ defense attorney and more on how this case unfolded, listen to the “CyberGuy Report” podcast at CyberGuyPodcast.com.
If a facial recognition match can help send a grandmother to jail, what guardrails should every police department be forced to follow before someone loses their freedom? Let us know by writing to us at CyberGuy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
Instagram is finally letting everyone reorganize their profile grid
Nearly a year after it was announced, Instagram says it’s delivering the ability to rearrange the posts in your profile grid. It had been available to some people in test groups, but as of June 8th, it’s rolling out widely via the Android and iPhone mobile apps.
Until now, the posts on your Instagram profile have been locked in chronological order beyond the ability to pin three posts at the top, but once the feature is live on your account, you can long-press and drag posts freely, no matter how old they are. Any posts that are pinned will remain at the top.
Technology
Robot pets with AI could soon live with you
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A robot that follows you around the house may sound a little strange at first. Yet Colin Angle, the cofounder of iRobot and one of the people behind Roomba, is betting that the next big home robot may feel less like a machine and more like a companion.
His new company, Familiar Machines & Magic, has revealed its first robot concept called a Familiar. It is a pet-inspired, emotionally aware home robot designed to live with you, learn your routines and support healthier habits. “The next era of robotics is not just about dexterity or humanoid form. It is about machines that can build and sustain human connection,” Angle said.
That may sound great to some of you, and others not so much. Whatever your take, it raises some important questions too. Do you really want an AI-powered companion roaming around your home 24/7? Can a robot provide comfort without creating dependency? And will privacy hold up when a device can see, hear and remember what happens around you? Let’s take a closer look.
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AI HUMANOID ROBOT LEARNS TO MIMIC HUMAN EMOTIONS AND BEHAVIOR
Familiar Machines & Magic has revealed Familiar, an AI-powered home robot concept designed to learn routines and respond to human emotions. (Familiar Machines & Magic)
What is the Familiar AI robot pet?
A Familiar is a physically embodied AI robot built for human interaction. Unlike a chatbot on your phone, this robot has a body. It can move, react and express itself through animal-inspired behaviors.
The first version is a four-legged robot with a soft, touch-sensitive coat. It uses cameras, microphones, speakers and onboard AI to respond to people in real time. The company says it can read facial expressions, tone of voice and body language.
So, if you smile, it may tilt its head. If you seem stressed, it may nuzzle you. If you get excited, it may wiggle its tail. The goal is to build a warm presence that feels natural in your home. Familiar Machines & Magic says the robot is designed to support people through daily life rather than perform one simple task.
Why this AI robot pet feels more like a companion
Most home robots have focused on chores. Roomba vacuumed your floors. Other robots promised security patrols, video calls or entertainment. Familiar is doing something different. It is built to support your daily routines and respond to how you are feeling.
The company describes it as a companion that can encourage better habits. For example, it may notice that you have been doomscrolling and give you a gentle nudge. It could encourage movement, help engage kids in screen-free play or offer a non-judgmental presence when you need to vent. That makes the robot feel more like a pet than a device. Still, the company says it is meant to supplement your life, not replace people or real animals.
A WHEELED ROBOT MAY BEAT HUMANOIDS INTO YOUR HOME
How the Familiar AI robot learns your routines
The Familiar is designed to build memory over time. The more you interact with it, the more distinct its personality may become. That could mean it learns when your household eats dinner, when you usually relax or when you tend to fall into habits you want to break. Then it can react in small physical ways.
Instead of barking orders, it may use movement, sound and expression. A paw tap could remind you to move. A gentle approach could signal that it wants attention. A scared reaction could warn you if it senses an unsafe situation, such as being placed near heat.
This is where the idea gets interesting. The robot does not need to speak to communicate. In fact, Familiar Machines & Magic says the first Familiar currently does not talk. That restraint may be smart. A robot that acts through gestures may feel less intrusive than one that constantly chats.
The Familiar robot concept uses cameras, microphones, speakers and onboard AI to respond to facial expressions, tone of voice and body language. (Familiar Machines & Magic)
Why the Roomba creator’s new robot stands out
Colin Angle helped turn consumer robotics into a real business with iRobot. That gives this project extra weight because many social robots have come and gone without lasting success.
Robots such as Jibo, Anki’s Vector and other home companions generated excitement, but many struggled to keep people engaged after the novelty wore off.
Familiar Machines & Magic seems aware of that challenge. The company says the robot must build a long-term connection rather than offer a flashy demo. In other words, cuteness alone will not carry it. A Familiar has to keep earning its place in your home.
HOME ROBOT COOKS, CLEANS AND ORGANIZES YOUR LIFE
How Familiar handles privacy inside your home
A robot that sees and hears what happens inside your home naturally raises privacy questions. Familiar Machines & Magic says its AI runs on the device, so your private data does not need to stream constantly to the cloud.
The company also says data is stored on the robot, and you decide when it gets shared with the cloud. The robot should still work if you disconnect it from the internet, although you may miss out on new features.
That is the kind of privacy setup you want to see with a home robot. Still, you should read the fine print before bringing one into your house. Look for clear answers on what it records, how long it keeps that data, who can access it and how you can delete it.
Why AI robot pets could appeal to families and older adults
A Familiar could make sense for people who want a little extra support at home without adding another screen to the mix. Parents may use it to help pull kids into screen-free play. Someone living alone could feel a little more company in the house. Older adults may eventually get help with reminders, routines and companionship.
That last part could be where this type of robot really proves itself. It could gently encourage daily habits, check in through movement and sound and stay out of the way when needed. For homes where people want support without feeling watched or managed, that balance could make a real difference.
NEW MOBILE ROBOT HELPS SENIORS WALK SAFELY AND PREVENT FALLS
Colin Angle, cofounder of iRobot and one of the creators behind Roomba, is betting home robots could become companions rather than chore machines. (Familiar Machines & Magic)
When will the Familiar AI robot be available and what will it cost?
Familiar Machines & Magic has not announced a price or release date yet. The company also says this reveal isn’t a commercial product launch.
So, for now, this is more of a first look at where the company is headed. The real test will come when people can actually bring one home. Can it move safely around a busy house? Will people still use it after the first week? Will the privacy controls be clear enough? And will the price make sense for families?
Those are the questions that will determine whether Familiar becomes something people truly want in their homes, or something that looks great in a demo but never becomes part of our daily lives.
Kurt’s key takeaways
Familiar is one of the more interesting home robot ideas we have seen in years because it moves beyond chores and into emotional support. That is exciting, but it is also a much harder promise to keep. The Roomba connection gives this project credibility, especially since Colin Angle knows how difficult it is to make robots useful in real homes. Still, Familiar Machines & Magic has to prove this robot can stay helpful after the novelty wears off. If the company can balance usefulness, privacy, safety and emotional connection, Familiar could point to a new future for AI at home.
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Would you want an emotionally aware AI robot in your home, or would you rather keep that kind of technology out of your personal space? Let us know by writing to us at CyberGuy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
WWDC protesters want Apple to ban Elon Musk’s apps
Apple’s big developer conference is today, and protesters are using the occasion to call on the company to remove “nudify apps” from the App Store and pull “known” child sexual abuse material from iCloud.
Outside the visitors center at Apple’s Cupertino campus, protesters have put up a large sign saying “Apple is powered by child sexual abuse” and asking incoming CEO John Ternus, “What will you do?” The protesters come from UltraViolet, a women’s advocacy group, and Heat Initiative, a group that aims to “hold tech companies accountable for enabling and profiting from child sexual abuse.”
Apple and Google came under significant scrutiny earlier this year for continuing to keep apps like xAI’s Grok on their app stores even though users were able to make nonconsensual sexualized deepfakes. In pamphlets distributed at the protest, the organizations say that “at least 47 nudify apps have been found on Apple’s App Store” and that “Apple has made an estimated $117 million minimum from nudify apps,” including “an estimated $35+ million from Grok alone,” citing data from the Tech Transparency Project. UltraViolet also has a website dedicated to its protest today.
Apple previously scrapped plans to scan photos saved to iCloud for child sexual abuse imagery over privacy concerns.
Apple didn’t immediately reply to a request for comment.
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