How Amazon’s Ring & Rekognition Set The Stage For Consumer-Generated Mass-Surveillance
by Jevan Hutson
ZeroHedge.com
Mon, 02/04/2019
If every home on a street, in a neighborhood, or in a town had a Ring surveillance system, the individual cameras, taken together, could construct an extremely intimate picture of daily public life. By integrating facial recognition and contracting with local and federal law enforcement agencies, Amazon supercharges the potential for its massive network of surveillant consumers to comprehensively track the movements of individuals over time, even when the individual has not broken any law. Fully realized, these technologies set the stage for consumer generated mass surveillance.
Amazon’s Ring surveillance system dominates the growing video doorbell market. Ring, acquired by Amazon last April, is a system of home surveillance doorbell cameras which operate on an integrated social media platform, Neighbors. Neighbors allows users to share camera footage with other users and law enforcement agencies, as well as report safety issues, strangers, or suspicious activities. The platform aggregates user-generated reports and video data into a local activity maps and watchlists.
Similar community platforms where neighbors can report suspicious persons or activity, such as NextDoor, are notorious for racial bias and profiling. This problem will surely be made worse by Amazon’s desire to automatically classify persons as “suspicious” through sentiment analysis and other biometric data collection.
A recent patent application shows that Amazon will integrate their facial recognition product Rekognition into the Ring system, while also collecting and analyzing a litany of other biometric information. Many raise serious concerns about the integration of facial recognition to our contemporary digital ecosystem. Indeed, a unique consensus among researchers, lawmakers, advocates, and technology companies that facial recognition technology amplifies bias, intensifies mass surveillance and ought be subject to stringent regulation. [For more WJLTA coverage on algorithmic bias, see here.]
A centralized social network of private facial recognition cameras expands and streamlines traditional surveillance infrastructure by creating more data that is easily searchable. Hundreds of thousands of home security cameras will certainly generate massive amounts of data, but the integration of a social networking platform and facial recognition analytics cuts though the problem of irrelevant data. The Neighbors platform allows users and Amazon to identify and aggregate relevant data, while Rekognition can sift through both stored data and live visual feeds to locate and track individuals and groups.
This dystopic infrastructure is not only physical, it is cultural. Consumer surveillance technologies entrench surveillance as an essential duty of citizenship. Beyond offloading the costs and pressures of physical infrastructure from the state to consumers—creating new avenues for surveillance and data collection with less restrictions—these technologies inculcate surveillance as a social and communal obligation and engender public support and acceptance of ever more pervasive and invasive surveillance.
The Rest…HERE
