Trust Incident Amazon

Trust Incident Amazon



Case Author


Claude 3.5 Sonnet, Anthropic, ChatGPT o1 for model constructs and cues, peer-reviewed by ChatGPT 4o, Open AI.



Date Of Creation


15.02.2025



Incident Summary


In 2019, Amazon Ring faced severe privacy concerns when unauthorized employees accessed customer video feeds, compromising user privacy and trust. The incident revealed inadequate internal controls and third-party data sharing practices. Addendum: Expand to explicitly mention internal employee access to customer video feeds.



Ai Case Flag


AI



Name Of The Affected Entity


Amazon



Brand Evaluation


5



Industry


Technology & Social Media



Year Of Incident


2019



Key Trigger


Reports of unauthorized employee access to customer video feeds and discovery of extensive third-party tracking in Ring mobile app



Detailed Description Of What Happened


The incident began with reports that Ring employees had improper access to customer video feeds. Further investigation by EFF revealed the Ring app contained undisclosed third-party trackers sending out customer data. Ring employees could access video feeds from customer cameras, with some reportedly using this access to spy on customers. The situation was exacerbated by Ring inadequate security controls and lack of transparency about data sharing practices. Addendum: Expand on internal data policies and their failure to prevent this misuse.



Primary Trust Violation Type


Integrity-Based



Secondary Trust Violation Type


Competence-Based



Analytics Ai Failure Type


Privacy



Ai Risk Affected By The Incident


Consumer Rights, Unethical Testing



Capability Reputation Evaluation


4



Capability Reputation Rationales


Before the incident, Ring was viewed as a technological leader in smart home security, with strong product innovation and market presence. The company demonstrated significant expertise in video processing, mobile app development, and cloud services.



Character Reputation Evaluation


3



Character Reputation Rationales


The incident revealed systemic issues with privacy protection and data handling practices. Ring approach to employee access controls and third-party data sharing showed concerning gaps in ethical oversight.



Reputation Financial Damage


The incident led to significant reputational damage, multiple lawsuits, and increased regulatory scrutiny. Consumer trust was severely impacted, though precise financial impact is difficult to isolate due to Ring being part of Amazon. Addendum: Correct, but financial losses should also be quantified if available.



Severity Of Incident


4



Company Immediate Action


Ring implemented stricter access controls, enhanced security measures, and revised their privacy policies. They also launched a new Control Center for user privacy settings.



Response Effectiveness


The response was partially effective. While technical measures improved security, trust recovery was hampered by initial defensive stance and delayed acknowledgment of issues. Addendum: Correct, but could also note ongoing regulatory scrutiny and class-action lawsuits.



Model L1 Elements Affected By Incident


Reciprocity, Brand, Social Adaptor, Social Protector



Reciprocity Model L2 Cues


Accountability & Liability, Error & Breach Handling



Brand Model L2 Cues


Brand Image & Reputation



Social Adaptor Model L2 Cues


Data Security & Secure Storage, Compliance & Regulatory Features



Social Protector Model L2 Cues


Media Coverage & Press Mentions



Response Strategy Chosen


Reparations & Corrective Action, Partial Apology



Mitigation Strategy


Ring implemented technical fixes and policy changes while maintaining some defensive positioning. The response included new privacy features but initially downplayed the severity of the issues. Addendum: Accurate, though additional legal and regulatory scrutiny should be noted.



Model L1 Elements Of Choice For Mitigation


Reciprocity, Social Adaptor



L2 Cues Used For Mitigation


Accountability & Liability, Data Security & Secure Storage



Further References


https://www.forbes.com/sites/marcochiappetta/2020/01/28/the-ring-doorbell-app-is-sending-your-data-to-third-parties-new-eff-findings-show/, https://www.businessinsider.com/amazon-owned-ring-gives-facebook-google-user-data-study-2020-1,https://gizmodo.com/ring-app-shares-personal-data-with-facebook-other-unli-1841289093, https://www.bbc.com/news/technology-51281476



Curated


1




The Trust Incident Database is a structured repository designed to document and analyze cases where data analytics or AI failures have led to trust breaches.

© 2025, Copyright Glinz & Company



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