Technology
Amazon adds controversial AI facial recognition to Ring
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Amazon’s Ring video doorbells are getting a major artificial intelligence (AI) upgrade, and it is already stirring controversy.
The company has started rolling out a new feature called Familiar Faces to Ring owners across the United States. Once enabled, the feature uses AI-powered facial recognition to identify people who regularly appear at your door. Instead of a generic alert saying a person is at your door, you might see something far more personal, like “Mom at Front Door.” On the surface, that sounds convenient.
Privacy advocates, however, say this shift comes with real risks.
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Ring’s new Familiar Faces feature uses AI facial recognition to identify people who regularly appear at your door and personalize alerts. (Chip Somodevilla/Getty Images)
How Ring’s Familiar Faces feature works
Ring says Familiar Faces helps you manage alerts by recognizing people you know. Here is how it works in practice. You can create a catalog of up to 50 faces. These may include family members, friends, neighbors, delivery drivers, household staff or other frequent visitors. After labeling a face in the Ring app, the camera will recognize that person as they approach. Anyone who regularly passes in front of your Ring camera can be labeled by the device owner if they choose to do so, even if that person is unaware they are being identified.
From there, Ring sends personalized notifications tied to that face. You can also fine-tune alerts on a per-face basis, which means fewer pings for your own comings and goings. Importantly, the feature is not enabled by default. You must turn it on manually in the Ring app settings. Faces can be named directly from Event History or from the Familiar Faces library. You can edit names, merge duplicates or delete faces at any time.
Amazon says unnamed faces are automatically removed after 30 days. Once a face is labeled, however, that data remains stored until the user deletes it.
Why privacy groups are pushing back
Despite Amazon’s assurances, consumer protection groups and lawmakers are raising alarms. Ring has a long history of working with law enforcement. In the past, police and fire departments were able to request footage through the Ring Neighbors app. More recently, Amazon partnered with Flock, a company that makes AI-powered surveillance cameras widely used by police and federal agencies. Ring has also struggled with internal security. In 2023, the FTC fined Ring $5.8 million after finding that employees and contractors had unrestricted access to customer videos for years. The Neighbors app previously exposed precise home locations, and Ring account credentials have repeatedly surfaced online. Because of these issues, critics argue that adding facial recognition expands the risk rather than reducing it.
Electronic Frontier Foundation (EFF) staff attorney Mario Trujillo tells CyberGuy, “When you step in front of one of these cameras, your faceprint is taken and stored on Amazon’s servers, whether you consent or not. Today’s feature to recognize your friend at your front door can easily be repurposed tomorrow for mass surveillance. It is important for state regulators to investigate.” The Electronic Frontier Foundation is a well-known nonprofit organization that focuses on digital privacy, civil liberties and consumer rights in the tech space.
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Once a face is labeled by the device owner, Ring can replace generic notifications with named alerts tied to that individual. (CyberGuy.com)
Where the feature is blocked and why that matters
Legal pressure is already limiting where Familiar Faces can launch. According to the EFF, privacy laws are preventing Amazon from offering the feature in Illinois, Texas and Portland, Oregon. These jurisdictions have stricter biometric privacy protections, which suggests regulators see facial recognition in the home as a higher-risk technology. U.S. Senator Ed Markey has also called on Amazon to abandon the feature altogether, citing concerns about surveillance creep and biometric data misuse.
Amazon says biometric data is processed in the cloud and not used to train AI models. The company also claims it cannot identify all locations where a face appears, even if law enforcement asks. Still, critics point out the similarity to Ring’s Search Party feature, which already scans neighborhoods to locate lost pets.
We reached out to Amazon for comment but did not receive a response before our deadline.
Ring’s other AI feature feels very different
Not all of Ring’s AI updates raise the same level of concern. Ring recently introduced Video Descriptions, a generative AI feature that summarizes motion activity in plain text. Instead of guessing what triggered an alert, you might see messages like “A person is walking up the steps with a black dog” or “Two people are peering into a white car in the driveway.”
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Ring’s Video Descriptions feature takes a different approach by summarizing activity without identifying people by name. (Amazon)
How Video Descriptions decides what matters
This AI focuses on actions rather than identities. It helps you quickly decide whether an alert is urgent or routine. Over time, Ring says the system can recognize activity patterns around a home and only notify you when something unusual happens. However, as with any AI system, accuracy can vary depending on lighting, camera angle, distance and environmental conditions. Video Descriptions is currently rolling out in beta to Ring Home Premium subscribers in the U.S. and Canada. Unlike facial recognition, this feature improves clarity without naming or tracking specific people. That contrast matters.
Video Descriptions turns motion alerts into short summaries, helping you understand what is happening without identifying who is involved. (Amazon)
Should you turn Familiar Faces on?
If you own a Ring doorbell, caution is wise. While Familiar Faces may reduce notification fatigue, labeling people by name creates a detailed record of who comes to your home and when. Given Ring’s past security lapses and close ties with law enforcement, many privacy experts recommend keeping the feature disabled. If you do use it, avoid full names and remove faces you no longer need. In many cases, simply checking the live video feed is safer than relying on AI labels. Not every smart home feature needs to know who someone is.
How to turn Familiar Faces on or off in the Ring app
If you want to review or change this setting, you can do so at any time in the Ring mobile app.
To enable Familiar Faces:
- Open the Ring app
- Tap the menu icon
- Select Control Center
- Tap Video and Snapshot Capture
- Select Familiar Faces
- Toggle the feature on and follow the on-screen prompts
To turn Familiar Faces off:
- Open the Ring app
- Go to Control Center
- Tap Video and Snapshot Capture
- Select Familiar Faces
- Toggle the feature off
Turning the feature off stops facial recognition and prevents new faces from being identified. Any labeled faces can also be deleted manually from the Familiar Faces library if you want to remove stored data.
Alexa is now answering your door for you
Amazon is also rolling out a very different kind of AI feature for Ring doorbells, and it lives inside Alexa+. Called Greetings, this update gives Ring doorbells a conversational AI voice that can interact with people at your door when you are busy or not home. Instead of identifying who someone is, Greetings focuses on what they appear to be doing. Using Ring’s video descriptions, the system looks at apparel, actions, and objects to decide how to respond.
For example, if someone in a delivery uniform drops off a package, Alexa can tell them exactly where to leave it based on your instructions. You can even set preferences to guide delivery drivers toward a specific spot, or let them know water or snacks are available. If a delivery requires a signature, Alexa can ask the driver when they plan to return and pass that message along to you. The feature can also handle sales representatives or service vendors. You might set a rule such as politely declining sales pitches without ever coming to the door yourself.
Greetings can also work for friends and family. If someone stops by while you are away, Alexa can greet them and ask them to leave a message for you. That interaction is saved so you can review it later. That said, the system is not perfect. Because it relies on visual context rather than identity, mistakes can happen. A friend who works in logistics could show up wearing a delivery uniform and be treated like a courier instead of being invited to leave a message. Amazon acknowledges that accuracy can vary. Importantly, Amazon says Greetings does not identify who a person is. It uses Ring’s video descriptions to determine the main subject in front of the camera and generate responses, without naming or recognizing individuals. That makes it fundamentally different from the Familiar Faces feature, even though both rely on AI.
Greetings is compatible with Ring Wired Doorbell Pro (3rd Gen) and Ring Wired Doorbell Plus (2nd Gen). It is available to Ring Premium Plan subscribers who have video descriptions enabled and is currently rolling out to Alexa+ Early Access users in the United States and Canada.
Thinking about a Ring doorbell?
If you are already in the Ring ecosystem or considering a video doorbell, Ring’s lineup includes models with motion alerts, HD video, night vision, and optional AI-powered features such as Video Descriptions. While Familiar Faces remains controversial and can be turned off, many homeowners still use Ring doorbells for basic security awareness and package monitoring.
If you decide Ring is right for your home, you can check out the latest Ring Video Doorbell models or compare features and pricing with other options by visiting Cyberguy.com and searching “Top Video Doorbells.”
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Kurt’s key takeaways
Amazon Ring’s AI facial recognition feature shows how quickly convenience can collide with privacy. Familiar Faces may offer smarter alerts, but it also expands surveillance into deeply personal spaces. Meanwhile, features like Video Descriptions prove that AI can be useful without identifying people. As smart home tech evolves, the real question is not what AI can do but what it should do.
Would you trade fewer notifications for a system that recognizes and names everyone who comes to your door? Let us know by writing to us at Cyberguy.com.
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Copyright 2025 CyberGuy.com. All rights reserved.
Technology
Halide co-founder is suing former partner Sebastiaan de With for taking source code to Apple
Lux Optics co-founder Sebastiaan de With made headlines when he joined Apple in late January. The company was behind Halide, one of the most popular photography apps for the iPhone, which gained a cult following for its robust pro-level controls.
Apple was apparently a big enough fan that it tried to acquire the developer last summer. Those talks never bore fruit, and eventually the company simply hired de With. At the time, it was widely believed that Apple had poached him from Lux. But new allegations from a lawsuit filed by co-founder Ben Sandofsky in the California Superior Court of Santa Cruz claim de With was fired for financial misconduct in December of 2025.
According to The Information, the suit “accuses de With of improperly using more than $150,000 in Lux corporate funds to pay for personal expenses,” as well as “taking Lux source code and confidential material with him when he joined Apple.”
An attorney for de With denied those claims and said that “The attempt to insert Apple into this dispute appears designed to create leverage and attract attention.“
Technology
Creepy robot mom that gives birth is training future midwives
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Most hospital training labs use basic dummies or simple mannequins to teach medical skills. Students practice procedures, learn techniques and move on to real patients later. But a new childbirth simulator called Mama Anne takes training to a very different level. This lifelike robot blinks, breathes and even talks while helping midwifery students practice delivering babies before they ever step into a real delivery room. And if the idea of a robot going into labor feels a little creepy, you are not alone.
At York St. John University in York, England, educators have introduced the simulator as part of a new approach to hands-on medical training. The technology allows students to experience complex labor scenarios in a safe environment where mistakes become learning moments instead of medical emergencies. And yes, the robot actually gives birth.
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Mama Anne is a high-fidelity childbirth simulator used to train midwifery students in realistic labor and delivery scenarios before they work with real patients. (Laerdal Medical)
How the robot childbirth simulator trains future midwives
The simulator known as Mama Anne looks and behaves much like a real patient in labor. Developed by Laerdal Medical, the high-fidelity mannequin was designed to recreate real childbirth conditions with startling realism.
Students interact with Mama Anne as if she were an actual patient. Her eyes blink and react to light. Her chest rises and falls as she breathes. She even has pulses that can be felt in multiple places across the body. Most importantly, she can deliver a baby mannequin during a simulated birth.
Unlike older training models that stayed mostly static, this simulator moves and reacts during labor. It can deliver in several positions, including lying back or on all fours. It can also display vital signs that change in response to medical complications. In short, it turns a classroom exercise into something that feels much closer to a real hospital scenario.
Why robot childbirth simulators are becoming essential
For decades, midwifery training relied heavily on textbooks, observation and limited hands-on practice. That approach left a major gap. Many students encountered their first true emergencies only after they began working in clinical settings.
Now technology is filling that gap. Simulation tools like Mama Anne allow students to practice high-risk situations repeatedly before they ever treat a real patient. As a result, students build confidence while instructors guide them through difficult scenarios.
For example, the simulator can recreate several dangerous childbirth complications, including:
- Postpartum hemorrhage with realistic blood loss
- Shoulder dystocia when a baby becomes stuck during delivery
- Pre-eclampsia and eclampsia with changing vital signs
- Sepsis symptoms that require rapid treatment
Students also practice everyday clinical skills such as monitoring fetal heart rate, giving injections and managing labor from start to finish. Because the training environment is controlled, instructors can pause a scenario, explain a mistake and run it again.
The robot even teaches communication skills
Medical training is not only about technical procedures. Communication with patients matters just as much. Mama Anne helps with that, too.
The simulator can speak using recorded responses or real-time dialogue through hidden speakers. Students must explain procedures, ask for consent and reassure their patient just as they would in a real delivery room.
If someone touches the simulator without asking first, it can react and vocalize discomfort. That feature reinforces one of the most important lessons in modern healthcare: patient consent and respectful care always come first.
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The lifelike simulator can blink, breathe, display vital signs and deliver a baby mannequin to recreate complex childbirth situations. (Laerdal Medical)
Why universities are investing in this technology
Educators believe simulation training dramatically improves how healthcare students prepare for the real world. Rebecca Beggan, midwifery program lead at York St. John University, says hands-on simulation helps students build both competence and confidence before clinical placements.
Students can experience an entire labor scenario from beginning to end. They learn antenatal care, labor management and postnatal care in a single immersive exercise. Instructors also say the technology helps protect students from the emotional shock of encountering their first medical emergency without preparation. Instead of facing those situations cold, students enter clinical placements with real practice under their belt.
The future of childbirth training
The arrival of hyper-realistic simulators like Mama Anne suggests medical education is entering a new era. Instead of learning mostly through observation and experience, future healthcare professionals may train through realistic simulations that mirror real hospital conditions.
That shift could change everything from how nurses train to how surgeons rehearse complex procedures. Technology will never replace human caregivers. However, it can help prepare them better than ever before.
What this means to you
Even if you never step into a medical classroom, this technology could still affect your life. Better training often leads to better patient outcomes. When healthcare providers practice emergency scenarios in advance, they react faster and make fewer mistakes during real emergencies.
For expectant parents, that can mean safer deliveries and more confident medical teams in the room. Simulation training also reflects a broader shift in healthcare education across the United States. Many hospitals and universities are adopting high-fidelity simulators for surgery, emergency care and trauma response. The goal is simple: Let students practice difficult situations before lives are on the line.
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Kurt’s key takeaways
A robot that gives birth may seem a little creepy at first. Still, tools like this could become common in medical training down the road. Students gain hands-on experience. Instructors guide them through emergencies. Patients benefit from better-prepared medical teams. The next generation of midwives may enter the delivery room with far more practice than any class before them. As medical simulators grow more realistic and more widespread, one question naturally follows.
Students use the simulator to practice emergencies like postpartum hemorrhage, shoulder dystocia and other complications in a safe training environment. (Laerdal Medical)
If robots can train doctors to deliver babies today, what other parts of healthcare might soon be practiced first in simulation labs instead of hospitals? Let us know by writing to us at Cyberguy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
The AirPods Pro 3 are $50 off right now, nearly matching their best-ever price
Less than a week ago, Apple announced the forthcoming AirPods Max 2, a pair of over-ear headphones that leverage the company’s H2 chip for AI-powered live translation, conversation awareness, and a host of newer features. However, if you’re okay with a pair of earbuds, the AirPods Pro 3 offer access to all the same features for less — especially given they’re currently on sale at Amazon, Walmart, and Best Buy for $199.99 ($50 off), matching their second-best price to date.
For iPhone owners, nothing else really compares to the AirPods Pro 3. Apple’s latest pair of premium earbuds deliver the best active noise cancellation and richest sound of any AirPods model to date, combined with a more comfortable, angled design that fits securely and naturally in your ear canal. They also feature a new XXS ear tip size and a more robust IP57 rating for sweat and water resistance, making them better suited for long-distance runs and various gym activities.
Speaking of workouts, the Pro 3 can also pull double duty as a fitness tracker, thanks to a built-in heart rate sensor that works with Apple’s Fitness app to track calories burned across more than 50 workout types. It’s a welcome addition if you don’t use an Apple Watch; however, it may not be as useful for those who already own and rely on Apple’s wearable for its health tracking and wellness features.
Lastly, as mentioned up top, the AirPods Pro 3 also boast an H2 chip, allowing for the aforementioned real-time translation features and Apple’s newer Voice Isolation tech, which uses machine learning to isolate and enhance voice quality by removing unwanted background noise. That’s on top of their seamless integration with other Apple devices, mind you, which lets you take advantage of automatic device switching and a Find My-compatible charging case.
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