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Amazon Ring's lost dog ad sparks backlash amid fears of mass surveillance (theverge.com)

676 points by jedberg · 159 days ago · 394 comments on HN

Article summary

Amazon Ring's new AI-powered Search Party feature can scan footage from neighborhood cameras to find lost dogs, but critics worry it could be used to search for people, raising concerns about mass surveillance. The feature is enabled by default on outdoor cameras enrolled in Ring's subscription plan and uses AI to scan footage in the cloud for the missing dog. Ring maintains that the feature is not capable of processing human biometrics and is designed to match images of dogs. The company has faced backlash before for its partnerships with law enforcement and its handling of user data.

Main themes

  • Mass Surveillance
  • AI-powered Search
  • Neighborhood Cameras
  • Privacy Concerns
  • Law Enforcement Partnerships

What commenters say

  • The Ring ad is seen as a clumsy attempt to put a positive spin on a potentially dystopian reality of widespread surveillance.
  • Some people believe that the backlash against Ring is overblown and that the feature is not a significant threat to privacy.
  • Others argue that the feature is a slippery slope towards mass surveillance and that it is only a matter of time before it is used to track people.
  • There are concerns that Ring's partnerships with law enforcement and other surveillance companies pose a significant threat to individual privacy and freedom.
  • Some commenters think that people are too quick to criticize companies like Ring without considering the potential benefits of their technology.
  • Others believe that the issue is not just about Ring, but about the broader systemic issues that allow companies to prioritize profits over privacy and individual rights.
  • There is a sense that the public is not fully aware of the implications of using surveillance technology like Ring and that more education and awareness are needed.
  • Some people are skeptical of the idea that companies like Ring can be trusted to self-regulate and protect user privacy, and argue that stronger regulations are needed.