{"id":43530,"date":"2019-02-05T06:15:03","date_gmt":"2019-02-05T11:15:03","guid":{"rendered":"https:\/\/olduvai.ca\/?p=43530"},"modified":"2019-02-05T06:15:05","modified_gmt":"2019-02-05T11:15:05","slug":"how-ring-rekognition-set-the-stage-for-consumer-generated-mass-surveillance","status":"publish","type":"post","link":"https:\/\/olduvai.ca\/?p=43530","title":{"rendered":"How Ring & Rekognition Set the Stage for Consumer Generated Mass Surveillance"},"content":{"rendered":"\n

How Ring & Rekognition Set the Stage for Consumer Generated Mass\u00a0Surveillance<\/a><\/h3>\n\n\n\n
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If every home on a street, in a neighborhood, or in a town had a Ring surveillance system<\/a>, the individual cameras, taken together, could construct an extremely intimate picture of daily public life. By integrating facial recognition<\/a> and contracting<\/a> with local<\/a> and federal<\/a> law enforcement agencies, Amazon supercharges the potential for its massive network of surveillant consumers<\/a> 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.<\/p>\n\n\n\n

Amazon\u2019s Ring surveillance system dominates the growing video doorbell market. Ring, acquired<\/a> by Amazon last April, is a system of home surveillance doorbell cameras which operate on an integrated social media platform, Neighbors<\/a>. 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<\/a> and profiling<\/a>. This problem will surely be made worse by Amazon\u2019s desire to automatically classify persons as \u201csuspicious\u201d<\/a> through sentiment analysis and other biometric data<\/a> collection.<\/p>\n\n\n\n

\"Screen<\/figure>\n\n\n\n

A recent\u00a0patent application<\/a>\u00a0shows that Amazon will integrate their facial recognition product\u00a0Rekognition<\/a>\u00a0into the Ring system, while also collecting and analyzing a litany of other\u00a0biometric information<\/a>. Many raise serious concerns about the integration of facial recognition to our contemporary digital ecosystem. Indeed, a\u00a0unique consensus<\/a>\u00a0among\u00a0researchers<\/a>,\u00a0lawmakers<\/a>,\u00a0advocates<\/a>, and\u00a0technology companies<\/a>\u00a0that facial recognition technology amplifies bias, intensifies mass surveillance and ought be subject to stringent regulation. [For more WJLTA coverage on algorithmic bias, see\u00a0here<\/a>.]<\/p>\n\n\n\n

 \u2026click on the above link to read the rest of the article\u2026<\/p>\n","protected":false},"excerpt":{"rendered":"

How Ring & Rekognition Set the Stage for Consumer Generated Mass\u00a0Surveillance 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 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[6],"tags":[977,6152,24306,24309,765,24307],"class_list":["post-43530","post","type-post","status-publish","format-standard","hentry","category-liberty","tag-amazon","tag-biometric-data","tag-jevan-hutson","tag-ring-and-rekognition","tag-surveillance","tag-washington-journal-of-law"],"_links":{"self":[{"href":"https:\/\/olduvai.ca\/index.php?rest_route=\/wp\/v2\/posts\/43530","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/olduvai.ca\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/olduvai.ca\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/olduvai.ca\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/olduvai.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=43530"}],"version-history":[{"count":1,"href":"https:\/\/olduvai.ca\/index.php?rest_route=\/wp\/v2\/posts\/43530\/revisions"}],"predecessor-version":[{"id":43531,"href":"https:\/\/olduvai.ca\/index.php?rest_route=\/wp\/v2\/posts\/43530\/revisions\/43531"}],"wp:attachment":[{"href":"https:\/\/olduvai.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=43530"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/olduvai.ca\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=43530"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/olduvai.ca\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=43530"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}