Between its line of Ring-brand surveillance doorbells and its "Rekognition" facial recognition product (both of which are used in law-enforcement and immigration-enforcement contexts), Amazon is at the center of the controversy over facial recognition technology. Read the rest
Amazon's Ring doorbells are surveillance devices that conduct round-the-clock video surveillance of your neighborhood, automatically flagging "suspicious" faces and bombarding you and your neighbors with alerts using an app called "Neighbors"; it's a marriage of Amazon's Internet of Things platform with its "Rekognition" facial recognition tool, which it has marketed aggressively to cities, law enforcement, ICE, businesses and everyday customers as a security measure that can help ID bad guys, despite the absence of a database identifying which faces belong to good people and which faces belong to bad people. Read the rest
Sources "familiar with Ring's practices" have told The Intercept that the company -- a division of Amazon that makes streaming cameras designed to be mounted inside and outside your home -- stores the video feeds from its customers' homes in unencrypted format and allows staff around the world to have essentially unfettered access to these videos. Read the rest
Tech-sector workers have enormous market-power: companies find it easier to raise cash than to use it to hire qualified developers. Read the rest
After learning that Amazon was pushing the use of Rekognition, its facial recognition tool, for use in policing (a global phenomenon that is gaining momentum despite the material unsuitability of these tools in policing contexts), the ACLU of Northern California had a brainwave: they asked Rekognition to evaluate the faces of the 115th Congress of the United States. Read the rest
Amazon bills its Rekognition image classification system as a "deep learning-based image and video analysis" system; it markets the system to US police forces for use in analyzing security camera footage, including feeds from police officers' bodycams. Read the rest
