Amazon adds AI-generated images to US search to help shoppers refine product searches. Amazon has introduced AI-generated images in its US online shopping search to visually illustrate product concepts and improve search accuracy. These images are not of actual products but serve to guide customers who may not know exact product terms,...
Amazon has just been hit with a class-action lawsuit over its controversial facial recognition feature in Ring video doorbell cameras. The lawsuit was filed on Monday in Seattle by Virginia resident Charles Sigwalt. The suit seeks $5 million in damages. Last fall, Amazon launched a new "Familiar Faces" feature inside Ring doorbells. Utilizing AI, Familiar Faces scans and identifies visitors to a Ring owner's home. When Familiar Faces recognizes a regular visitor — whether it's a family member, mailman, or delivery driver — Ring can tell users who is at their door instead of providing a generic notification. Familiar Faces is completely optional to use, and Ring owners can turn the feature off if they want. However, as the lawsuit points out, visitors to a Ring doorbell owner's home can't consent before their face is scanned. "Millions of other Americans passed by a Ring security camera and unknowingly had their facial recognition information collected," reads the lawsuit. Ring has long faced criticism from privacy advocates. In fact, when the Familiar Faces feature was announced in September, it too faced swift blowback from advocacy groups like the EFF, who said that it violated state privacy laws. "Many biometric privacy laws across the country are clear: Companies need your affirmative consent before running face recognition on you," said an EFF report at the time. The EFF report also pointed out that the Ring feature was unavailable in certain states due to biometric privacy laws. U.S. Senator Ed Markey also warned about the issues with Familiar Faces in a letter demanding Amazon cancel the rollout of the feature last year. "This announcement represents a dramatic expansion of surveillance technology, creating vast new privacy and civil liberties risks," Senator Market wrote. "Americans should not have to fear being tracked and recorded while visiting a
On Monday, a Virginia man filed a class-action lawsuit against Amazon Ring, claiming its facial recognition feature violated his privacy and that of millions of other Americans. The lawsuit, filed by Charles Sigwalt in Seattle federal court, seeks at least $5 million from the retail giant. The case focuses on a Ring feature that uses AI to detect and remember the faces of friends and family. The feature, which arrived on Ring security cameras and video doorbells in 2025, is available only to Ring subscribers who opt into both Familiar Faces and smart alerts on their Ring device. When Familiar Faces is activated, Ring sends personalized phone alerts that identify people by name (based on the profiles users create) when those individuals approach a home. The problem is that the facial recognition software scans and categorizes everyone who passes by the camera, not just family and friends who might have profiles. Ring can also detect the faces of nearby drivers, mail carriers and strangers, potentially even people walking down a nearby street (aided by the newest 2K and 4K resolution devices Ring released, which can gather finer details farther away). Sigwalt's lawsuit focuses on consent and the storage of biometric data. Although laws can vary by state and haven't always kept pace with this new technology, recording faces without consent could violate privacy rights. In Washington state, where Amazon has one of its headquarters, consumers have some control over access to their personal data. Another sticking point is that the Ring app doesn't automatically delete the faces it captures but keeps them for 30 days. While Ring says this face data is encrypted and stored so users can take their time creating face profiles, it's unclear whether the data can be used to train its AI features or for other
The Walt Disney Company is facing a $5 million class action lawsuit alleging Disneyland and Disney California Adventure failed to properly disclose the use of facial recognition technology at park entrances and collected sensitive biometric data from visitors, including children, without consent. The lawsuit, filed May 15 in federal court... Read More » Amazon Faces Class Action Over Ring Facial Recognition Feature Amazon is facing a class action lawsuit in federal court over claims that its Ring doorbell cameras used facial recognition technology to scan, identify, and store people’s faces without their consent. The complaint was filed on June 1 by Virginia resident Charles Sigwalt in federal court in Seattle, where Amazon has one of its headquarters. Sigwalt claims Ring’s “Familiar Faces” feature creates a digital faceprint of visitors who appear in front of enabled cameras, allowing the system to recognize them later without their knowledge or consent. According to the lawsuit, Sigwalt’s facial data was collected while he visited friends and family members who had Ring cameras using the feature. He claims he never bought a Ring device, never agreed to Ring’s terms of service, and never gave Amazon permission to collect or store his biometric information. Amazon acquired Ring in 2018 for about $1 billion. Familiar Faces is an optional Ring feature that provides personalized doorbell alerts. Instead of receiving a generic alert that a person is at the front door, a Ring customer can label frequent visitors and receive a notification identifying a specific person. Ring says users can turn the feature on or off and manage the faces stored in their personal directory. Consent is the central problem raised by the complaint because the person using the Ring camera is not always the person being identified. A homeowner may choose to activate Familiar Faces, but Sigwalt
Figures Abstract To address the limitations of single-image feature information and the insufficient recognition capability of traditional power quality disturbance (PQD) identification systems, this paper proposes a PQD recognition method based on feature-image combination and an improved ResNet-18, following the concept of feature fusion. First, the PQD signal is subjected to variational mode decomposition (VMD) to obtain a series of intrinsic mode functions (IMFs) and a residual component. Second, the IMFs, residual component, original disturbance signal, and Subtract component are vertically concatenated into a component matrix, from which a color feature-component image is generated via a signal-to-image transformation method. Third, the original disturbance signal is processed using continuous wavelet transform (CWT) to produce a time–frequency scalogram. Finally, the color feature-component image and the wavelet time–frequency image are combined and input into an improved six-channel ResNet-18 for training and disturbance classification. Simulation analyses of the proposed PQD identification method are conducted and compared with commonly used recognition systems. The results demonstrate that the proposed method exhibits strong noise robustness, effectively extracts PQD feature information, and achieves higher recognition accuracy. Citation: Zhang J, Zhao Y, Zhang J, Bai Z (2026) Research on anomaly detection and operational status evaluation methods for smart electricity meters based on hybrid deep learning. PLoS One 21(6): e0350561. https://doi.org/10.1371/journal.pone.0350561 Editor: Keshun You, University of South China, CHINA Received: January 12, 2026; Accepted: May 14, 2026; Published: June 3, 2026 Copyright: © 2026 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: All relevant data are within the manuscript and its Supporting Information files. Funding: This work was supported in part by the State Grid Science and Technology Project:
Facial Recognition and Emotion Detection Using Quantum Neural Networks (QNN) - 2026 - OriginalPaper - Chapter Activate our intelligent search to find suitable subject content or patents. Select sections of text to find matching patents with Artificial Intelligence. powered by Select sections of text to find additional relevant content using AI-assisted search. powered by (Link opens in a new window) Abstract Advertisement
Amazon and its subsidiary brand, Ring, are now facing a lawsuit in Virginia, with a plaintiff from the state alleging that the smart home devices of their friends and family collected and stored their images. The plaintiff said that the Ring camera's facial recognition technology and tools were used by the company to take their image and keep it without consent. Amazon Ring Faces Privacy Lawsuit After Alleged Violations Reuters reported that Amazon is now facing a lawsuit from a Virginia man involving the company's smart home brand, Ring, and the brand's doorbell cameras and its specific feature. Charles Sigwalt, the plaintiff, sued Amazon in a federal court in Seattle, and the lawsuit focuses on the feature of Amazon's Ring cameras called "Familiar Features." The man who raised the concern to the court is not a Ring user but claims that whenever he passes by the doors of friends and family members' homes, the smart doorbell camera took a photo of his face. According to Ring, the Familiar Faces feature is one of the latest technologies on the cameras, which uses facial recognition tech and what Amazon calls "advanced intelligence" to recognize people who are at or pass by doors. For people who have already registered on their Ring app, whenever a familiar face passes by, it will no longer alert users that there is a "Person at Front Door." Rather, Ring will say "[Name] at Front Door." Virginia Plaintiff Said Ring Kept Photos from Facial Scans Because of this exact intuitive feature that tells users to register and keep a profile of another person so that they would be recognized when they are at the door, Sigwalt alleged that the company did not ask for his consent to be identified by the Ring camera. According to Sigwalt, the feature
Microsoft launches new MAI family of AI models for reasoning, voice, coding, and images Microsoft used its Build 2026 developer conference on Tuesday to announce a new family of in-house AI models, alongside a slew of other news. The announcements, delivered during CEO Satya Nadella's conference keynote, span the company's full product stack, from silicon to operating system to cloud infrastructure. Besides the new AI models, highlights include Microsoft Scout, a new personal agent for workplace tasks, and an upcoming Microsoft Surface Ultra laptop designed to run large AI workloads locally. The centerpiece of this new family is MAI-Thinking-1, Microsoft's first reasoning model. It's a mid-sized, 35 billion active parameter model with a 128K context window built for high efficiency and performance, but importantly, at a low-token cost. "MAI-Thinking-1 was designed to be good at complex multi-step instructions, long context reasoning, and code generation," said Kyle Daigle, Microsoft Developer CMO and COO of GitHub, at a virtual media briefing ahead of the keynote. According to Daigle, MAI-Thinking-1 was built from scratch on commercially licensed data. The company says independent evaluators preferred it over Anthropic's Claude Sonnet 4.6, and that it matches Claude Opus 4.6 on the SWE Bench Pro coding benchmark. Six additional MAI models were announced, covering image generation, transcription, voice, and code: You May Also Like The new models are: MAI-Thinking-1 MAI-Image-2.5 and a Flash variant MAI-Transcribe-1.5 MAI-Voice-2 and a Flash variant MAI-Code-1 How can you try the new MAI models? Per Microsoft, MAI-Thinking-1 is available in Microsoft Foundry as a private preview. The MAI-Image-2.5 models are already live in PowerPoint and OneDrive, and will be arriving soon in Foundry. MAI-Code 1 is available now in Copilot and VS Code. Microsoft said that MAI-Transcribe-1.5 will be available soon in 43 languages, while MAI-Voice-2 and a Flash variant are
Amazon faces class action suit over Ring facial recognition feature Amazon has just been hit with a class-action lawsuit over its controversial facial recognition feature in Ring video doorbell cameras. The lawsuit was filed on Monday in Seattle by Virginia resident Charles Sigwalt. The suit seeks $5 million in damages. Last fall, Amazon launched a new "Familiar Faces" feature inside Ring doorbells. Utilizing AI, Familiar Faces scans and identifies visitors to a Ring owner's home. When Familiar Faces recognizes a regular visitor — whether it's a family member, mailman, or delivery driver — Ring can tell users who is at their door instead of providing a generic notification. You May Also Like Familiar Faces is completely optional to use, and Ring owners can turn the feature off if they want. However, as the lawsuit points out, visitors to a Ring doorbell owner's home can't consent before their face is scanned. "Millions of other Americans passed by a Ring security camera and unknowingly had their facial recognition information collected," reads the lawsuit. Ring has long faced criticism from privacy advocates. In fact, when the Familiar Faces feature was announced in September, it too faced swift blowback from advocacy groups like the EFF, who said that it violated state privacy laws. "Many biometric privacy laws across the country are clear: Companies need your affirmative consent before running face recognition on you," said an EFF report at the time. The EFF report also pointed out that the Ring feature was unavailable in certain states due to biometric privacy laws. U.S. Senator Ed Markey also warned about the issues with Familiar Faces in a letter demanding Amazon cancel the rollout of the feature last year. "This announcement represents a dramatic expansion of surveillance technology, creating vast new privacy and civil liberties risks," Senator Market
Amazon faces lawsuit over Ring facial recognition software A Virginia resident is suing Amazon for privacy violations after the e-commerce company’s Ring video doorbell camera allegedly used facial recognition technology to record and store images of his face without his consent. Charles Sigwalt, who filed a lawsuit on Monday in Seattle federal court, where Amazon has one of its headquarters, alleges that Ring’s “Familiar Faces” feature uses facial-recognition software to scan anyone who passes by the doorbell camera and categorizes them using artificial intelligence. The system then collects a “face print” that allows it to re-identify the person, according to his complaint, which seeks class-action status. “When plaintiffs and class members entered the homes and businesses of places which had Ring cameras that deployed Familiar Faces, they did not consent to have their privacy rights violated at the entrance way,” the suit alleges. Sigwalt alleges Ring collected his facial recognition data without warning while he was visiting friends’ and family members’ homes. He believes the company is still storing his biometric data, according to the lawsuit. Amazon declined to comment on the suit. “Familiar Faces” draws criticism Ring introduced the “Familiar Faces” feature in September 2025, billing it as a way for owners of its doorbell camera to receive more personalized alerts when someone arrives at their residence. Instead of seeing “Person at Front Door,” for example, they might receive an alert with a name, such as “John at Front Door.” “Your camera learns to recognize friends, family and frequent visitors over time,” the company says on its website. Users can turn the feature on and off, according to Ring. Groups like the nonprofit Electronic Frontier Foundation have pushed back on the feature, claiming it violates people’s privacy. The biometric data could be used for mass surveillance or be leaked
Amazon subsidiary Ring is facing a class-action lawsuit alleging it collected facial recognition data without consent. Ring, Amazon's smart doorbell and security camera brand, offers products equipped with AI image processing and Alexa-enabled response functions. However, Ring has been collecting and using facial recognition data of visitors and passersby without their consent, leading to a class-action lawsuit seeking over $5 million (approximately 800 million yen) in damages. The plaintiffs argue that Ring should compensate those whose faces have been photographed and used for facial recognition without their consent. Amazon's Ring sued over facial recognition feature, latest privacy concern for doorbell maker | Reuters Amazon-owned Ring should pay Americans for scanning their faces, lawsuit says - Ars Technica https://arstechnica.com/tech-policy/2026/06/amazon-owned-ring-should-pay-americans-for-scanning-their-faces-lawsuit-says/ Ring announced several new products and tools in October 2025. One of the new tools is 'Familiar Faces,' which uses AI to identify registered people. With Familiar Faces, you can be notified when a stranger approaches, or skip the response process when a familiar person approaches. Amazon Ring introduces numerous new products, including the 'Outdoor Cam Pro,' the series' first 4K security camera, along with a wealth of features such as 'Alexa+ Greetings' where Alexa responds on your behalf and AI-powered video explanations - GIGAZINE Charles Sigwalt, a Virginia resident, filed a class-action lawsuit on June 2, 2026, in the U.S. District Court for the Western District of Washington, where Amazon's headquarters are located, alleging that Familiar Faces violates fundamental consumer privacy principles. Sigwalt is proposing a class-action lawsuit targeting all people across the United States who have had their faces recognized by Amazon's facial recognition system, as well as a smaller class-action lawsuit targeting residents of Virginia. The lawsuit states, 'Familiar Faces uses facial recognition technology to scan the faces of all visitors and passersby, and uses AI to classify who
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Shift change chaos meets reality: It’s 6:58 a.m. at Station 4. The night crew is still catching up on competing charts from the tail end of their shift. The day crew just walked in, coffee in hand, trying to get the truck checked before the first tone drops. One paramedic is hunting down narc keys, another is on the phone with fleet trying to get a jump-start for the backup unit. Suddenly, the tones chimes and the dispatcher says over the intercom: “Medic 4 respond to an unknown problem/wellness check: priority 2. Third-party caller states the patient hasn’t been seen in 48 hours. Elderly male, history of dementia. No answer at the door. Police enroute to this location.” Your partner flips open the laptop and try to see if there have been other calls to this address and get an understanding of what you may be encountering on scene, only to realize the Wi-Fi is down. You glance at the wall clock. It’s 7:03 a.m. You haven’t completed a truck check, reviewed your crew status or even signed in yet. No one’s slacking. This is just a typical EMS morning, where everything happens at once, and everyone does their best to stay one step ahead of falling behind. | REGISTER: Smart tools, strategic choices: EMS puts AI into action Now imagine a quiet assistant — one that never sleeps — had already: - Verified and corrected the patient’s address using past encounter data - Pulled the previous run report and highlighted key medical history - Populated the ePCR with caller notes, demographics and risk flags - Loaded the relevant dementia/wellness protocol onto your tablet - Logged your crew in, pre-filled the rig checklist, and flagged a low battery in your suction unit This isn’t wishful thinking; it’s exactly what AI
In what may be one of the more questionable uses of AI to date, Amazon announced on Wednesday that it will display AI-generated images of products within its shopping app based on users’ search queries. That’s right — a retailer where people shop for real-world products thinks that displaying fake photos will “help” consumers better find what they’re looking for. Enough already. Here’s how Amazon says in a blog post that the feature will work. Customers may have something in mind but don’t know the right term to describe it in a way that returns useful results. (The examples Amazon gives are things like “cowl neck” for a style of shirts or “rattan” for furniture.) When someone enters a search query, they’ll be shown a variety of AI-generated product images below their autocomplete suggestions (see above image). For instance, if you search for a blue gingham dress, you might see a few dress styles — short or long sleeves, varying lengths, and other differences — appear as visual options. The idea is that clicking one would direct you to search results that better match that style, powered by Amazon’s visual search capabilities. In reality, it’s somewhat bananas for a retailer to make up fake products as a way of guiding users to search results. For starters, it’s potentially misleading — customers who don’t read carefully may think they’re being directed to a page where they could find that exact dress, then be disappointed when it isn’t available. And there’s the fairly obvious question of why you’d make up product images when you have a website full of real photographs of real products — which is presumably what an online shopper actually wants to see. The feature follows a number of other attempts by Amazon to integrate AI into its retail
Microsoft ends support for Internet Explorer on June 16, 2022. We recommend using one of the browsers listed below. Please contact your browser provider for download and installation instructions. June 3, 2026 Two papers authored by NTT Laboratories have been accepted at CVPR (The IEEE/CVF Conference on Computer Vision and Pattern Recognition) 2026 to be held in Denver, Colorado, USA, from June 3 to 7, 2026. This is a flagship conference on computer vision and pattern recognition where researchers seek the computational understanding, control, and generation of images and movies as well as their foundational theories. Abbreviated names of the laboratories: HI: NTT Human Informatics Laboratories CD: NTT Computer and Data Science Laboratories (The affiliations are at the time of submission.) Shin'ya Yamaguchi (CD)、Kosuke Nishida (HI)、Daiki Chijiwa (CD) Chain-of-Thought (CoT) prompting has been adapted for large vision-language models (LVLMs) to enhance multi-modal reasoning capability by generating intermediate rationales. However, our experiments reveal a key challenge: existing models often ignore the contents of these generated rationales during output generation. To address this issue, we propose Rationale-Enhanced Decoding (RED), a novel decoding strategy that requires no additional training. RED effectively harmonizes visual and rationale information by multiplying distinct image-conditional and rationale-conditional next-token distributions at the decoding time, ensuring the model's outputs are strictly grounded in the rationale. Extensive experiments demonstrate that RED consistently and significantly improves the dependency on rationales and reasoning performance across multiple benchmarks. This technology not only improves the performance of LVLM but also enhances the interpretability required for leveraging AI in critical decision-making. It is expected to find applications in various domains where humans and AI collaborate, including AI Constellation©. Shin'ya Yamaguchi (CD)、Tamao Sakao (CD)、Daiki Chijiwa (CD)、Taku Hasegawa (HI) Multi-modal in-context learning (MM-ICL) allows large vision-language models (LVLMs) to adapt to new tasks using demonstration examples. However, increasing
JACKSONVILLE, Fla. — The Jacksonville Sheriff’s Office is responding after Action News Jax showed how the department used AI to help identify a suspect in a grand theft case, but the technology and two eye witnesses ended up picking the wrong guy. We’ve teamed up with our sister station, WSOC-TV in Charlotte, North Carolina, for this story and they spoke in person with Jalil Richardson, a Charlotte man whose life was turned upside down in this case of high-tech mistaken identity. >>> STREAM ACTION NEWS JAX LIVE <<< “And I sat in there for over 50 days in the most worst jail ever,” Richardson said, speaking about the Duval County Jail. Action News Jax first told you last week how Richardson spent months in jail after a man in Jacksonville contacted authorities when he tried to register his new car only to find out it had been stolen. So JSO used surveillance video from the parking lot where the exchange happened. RELATED: Charlotte father of 10 says Jacksonville police AI misidentification cost him his freedom, home, job According to court documents, the victim said the seller also gave him a fake Georgia ID. A JSO investigator then used AI to try and match a suspect to the video and the ID. The facial recognition system matched the evidence with 85% accuracy to Richardson. “There was no proper investigation done, um, to even reach out to me or to see if I was even in Florida,” Richardson said. We asked JSO a series of questions about the case, including whether an 85% match is sufficient for investigators to pursue a lead. [DOWNLOAD: Free Action News Jax app for alerts as news breaks] They’re still working on getting us that answer, but sent the following statement to us: “The investigating patrol officer
Amazon faces lawsuit over Ring facial recognition software A Virginia resident is suing Amazon for privacy violations after the e-commerce company's Ring video doorbell camera allegedly used facial recognition technology to record and store images of his face without his consent. Charles Sigwalt, who filed a lawsuit on Monday in Seattle federal court, where Amazon has one of its headquarters, alleges that Ring's "Familiar Faces" feature uses facial-recognition software to scan anyone who passes by the doorbell camera and categorizes them using artificial intelligence. The system then collects a "face print" that allows it to re-identify the person, according to his complaint, which seeks class-action status. "When plaintiffs and class members entered the homes and businesses of places which had Ring cameras that deployed Familiar Faces, they did not consent to have their privacy rights violated at the entrance way," the suit alleges. Sigwalt alleges Ring collected his facial recognition data without warning while he was visiting friends' and family members' homes. He believes the company is still storing his biometric data, according to the lawsuit. Amazon declined to comment on the suit. "Familiar Faces" draws criticism Ring introduced the "Familiar Faces" feature in September 2025, billing it as a way for owners of its doorbell camera to receive more personalized alerts when someone arrives at their residence. Instead of seeing "Person at Front Door," for example, they might receive an alert with a name, such as "John at Front Door." "Your camera learns to recognize friends, family and frequent visitors over time," the company says on its website. Users can turn the feature on and off, according to Ring. Groups like the nonprofit Electronic Frontier Foundation have pushed back on the feature, claiming it violates people's privacy. The biometric data could be used for mass surveillance or be leaked
Amazon Ring sued over facial recognition feature as privacy fight moves to federal court Amazon and its Ring home security subsidiary have been hit with a proposed class action lawsuit accusing the company of collecting and retaining facial recognition data from visitors, delivery workers, neighbors, and passersby without their consent through Ring’s new “Familiar Faces” feature. The lawsuit, filed Monday in the U.S. District Court for the Western District of Washington, marks the latest escalation in a long-running privacy fight over Ring’s transformation from a consumer doorbell camera into a broad residential surveillance network. The plaintiff, Charles Sigwalt, a Virginia resident, is seeking at least $5 million in damages on behalf of a proposed nationwide class. The lawsuit alleges that Ring violated state and common law privacy protections by deploying facial recognition technology in a way that captures people who never purchased a Ring device, never agreed to Ring’s terms of service, and never consented to biometric scanning. Sigwalt claims that he visited homes of friends and family where Ring cameras using Familiar Faces were active and that his facial recognition data was collected without notice or compensation. At the center of the case is Familiar Faces, a Ring feature that allows users to identify recurring visitors and receive personalized alerts. But instead of a generic notification that a person is at the front door, the feature can identify someone by name once the Ring user has labeled that person. Ring says the feature is optional and not turned on by default. Ring’s support materials say profiles and facial recognition information are encrypted and stored in the cloud, not on the device, that unnamed profiles are automatically removed after 30 days without recognition, and that all profiles and facial recognition information are deleted after 180 days of no recognition. The
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A lawsuit against Amazon is seeking financial damages for millions of Americans whose faces may have been recorded by Ring cameras since the Familiar Faces feature was rolled out late last year. Plaintiff Charles Sigwalt yesterday filed a class action suit that aims to represent all people in the US “who had their facial recognition data collected, retained, and otherwise used by the Familiar Faces feature created and implemented by Defendant.” The lawsuit will seek “far” more than $5 million, but the $5 million figure was given in the complaint because US district courts have jurisdiction for civil actions seeking at least that amount. “Here, there are millions of Americans who have walked by Ring cameras which have activated the Familiar Faces feature… the damages in this action far exceed $5,000,000.00 when calculating the statutory damages that may be owed to each Class member in addition to the actual damages caused by the aggregate loss of value of biometric information,” the lawsuit said. Ring’s Familiar Faces feature is designed to identify people who appear at one’s door and provide alerts to the owner of the camera. Amazon says Familiar Faces is not enabled by default but that owners of Ring cameras can turn it on. Ring camera users can create a “personal directory of up to 50 familiar faces” so they can be alerted when one comes to the door. Sigwalt lives in Virginia and filed the suit in US District Court for the Western District of Washington, where Amazon is headquartered. He proposes a nationwide class of all people in the US whose faces were scanned and a subclass for Virginia residents. “Familiar Faces uses facial recognition technology to scan the face of all guests and passersby before categorizing who they are using artificial intelligence,” the lawsuit said. “AI