The Fulu Foundation, a nonprofit that pays out bounties for removing user-hostile features, is hunting for a way to keep Ring cameras from sending data to Amazon--without breaking the hardware. Usually, when you see a feel-good story about finding a lost dog, you don't immediately react with fear and revulsion. But that was indeed the case in response to a Super Bowl commercial from Amazon-owned security camera company Ring. There's now a group offering to dole out a $10,000 bounty to wrest back control of the user data Ring controls. The ad showed off a new feature from Ring called Search Party.

Ring faces privacy backlash over its AI-powered'Search Party' feature, which uses outdoor cameras to track lost dogs and is enabled by default. PCWorld reports that Ring ended its Flock partnership but remains committed to expanding'Search Party' despite surveillance concerns from its Super Bowl ad. A leaked email from Ring founder Jamie Siminoff suggests the AI tracking feature may extend beyond pets to broader applications. Ring's been in damage-control mode ever since its now-infamous "lost dog" Super Bowl ad, furiously spinning the sinister imagery of digital "bounding boxes" locking in on a wayward pooch and a simulated aerial view of dozens of homes scanning the neighborhood. Rather than giving off warm fuzzies--your Ring camera can help find lost dogs!--the Super Bowl ad gave off serious "big brother" vibes to many viewers.

Ring's Super Bowl ad promoting its'Search Party' feature for finding lost pets backfired, with viewers finding the neighborhood camera surveillance imagery dystopian rather than heartwarming. PCWorld reports the backlash stems from Ring's controversial history of data-sharing with law enforcement and privacy concerns over the AI-powered feature being enabled by default. Many users are actively seeking to disable'Search Party' despite Ring's claims of strong privacy protections and user consent requirements.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG .

Ring has expanded its AI-powered'Search Party for Dogs' feature to non-Ring users, allowing anyone to request help finding missing pets through the Ring app. PCWorld reports that the tool scans footage from nearby outdoor Ring cameras and sends alerts with images and video clips when potential matches are found. Users maintain control over video sharing and can opt out of the feature, which is enabled by default to enhance community involvement in pet recovery efforts. Roughly two months ago, Ring rolled out an AI-powered tool that lets Ring owners band together to find a missing pooch. Now, Ring says anyone with a wayward pet can ask for help using the feature, not just Ring users.

When you purchase through links in our articles, we may earn a small commission. Ring's AI-powered pet finder is coming--and you're already signed up Ring's new AI-enabled Search Party feature enlists the help of nearby Ring cameras--including yours, unless you say otherwise--to spot missing pets. Ring cameras banding together to help find missing pets--what's not to like? But while Ring's Search Party has a laudable goal, the just-announced functionality is yet another community-minded Ring feature that's on by default. Introduced during Amazon's big hardware reveal last month, a Search Party gets initiated when a neighbor reports a lost dog via Ring's Neighbor's app.

When you purchase through links in our articles, we may earn a small commission. Alexa+ can greet your visitors on Ring's latest video doorbells When someone's at your doorstep, Alexa+ can size up your visitors and tailor its greetings depending on whether it recognizes them. Also: Ring cameras go 4K, at last. With its latest video doorbell, Ring is enlisting Alexa+ to greet your visitors, instruct delivery personnel on where to leave packages, and even give personalized welcomes to people it recognizes. Amazon announced the new "Alexa+ Greetings" feature at its big fall event in New York City today, where it showed off a series of new Ring cameras-including four that can capture video in 4K, a first for Ring-along with yet another AI-powered feature that can help find wayward pets.

At Search Party we are in the business of creating intelligent recruitment software. One of the problems we deal with is matching candidates and vacancies in order to create a recommendation engine. This usually requires parsing, interpreting and normalising messy, semi-/unstructured, textual data from résumés and vacancies, which is where the following come in: conditional random fields, bag-of-words, TF-IDFs, WordNet, statistical analysis, but also a lot of manual work done by linguists and domain experts for the creation of synonym lists, skill taxonomies, job title hierarchies, knowledge bases or ontologies. While these concepts are valuable for the problem we try to solve, they also require a certain amount of manual feature engineering and human expertise. This expertise is certainly a factor that makes these techniques valuable, but the question remains whether more automated approaches can be used to extract knowledge about the job space to complement these more traditional approaches.

At Search Party we are in the business of creating intelligent recruitment software. One of the problems we deal with is matching candidates and vacancies in order to create a recommendation engine. This usually requires parsing, interpreting and normalising messy, semi-/unstructured, textual data from résumés and vacancies, which is where the following come in: conditional random fields, bag-of-words, TF-IDFs, WordNet, statistical analysis, but also a lot of manual work done by linguists and domain experts for the creation of synonym lists, skill taxonomies, job title hierarchies, knowledge bases or ontologies. While these concepts are valuable for the problem we try to solve, they also require a certain amount of manual feature engineering and human expertise. This expertise is certainly a factor that makes these techniques valuable, but the question remains whether more automated approaches can be used to extract knowledge about the job space to complement these more traditional approaches.