Facial Recognition Vulnerability: Unlocking the iPhone X with Twin Faces
Initial tests of Apple's Face ID on the iPhone X reveal inconsistent results when attempting to unlock the device for identical twins, raisi...
Read moreEvidence-based Transparent For governance
Initial tests of Apple's Face ID on the iPhone X reveal inconsistent results when attempting to unlock the device for identical twins, raisi...
Read moreIn the realm of Artificial Intelligence, instances of identical twins can arise due to similar design or training processes. This article pr...
Read moreAn Amazon Alexa device in a residential setting was reportedly activated without manual input and started playing music at high volume, caus...
Read moreThe voice assistant Alexa, known for its widespread use in households, has been under scrutiny recently due to a new feature dubbed 'Dox'. T...
Read moreA concerning incident highlights the potential risks associated with smart home devices, specifically Amazon's Alexa. A user inadvertently t...
Read moreIn an unexpected incident, Amazon's voice assistant Alexa misinterpreted a command, attempting to place an order for a large number of dollh...
Read moreAn Amazon Alexa device, triggered by a phrase uttered by a news anchor on TV, initiated an unintended shopping spree, purchasing multiple do...
Read moreAn exploration into an unexpected event where Amazon's Alexa device mistakenly ordered multiple dollhouses across San Diego, highlighting th...
Read moreThe recent incident involving a 6-year-old girl's unexpected Alexa order highlights the need for responsible AI governance. Although Amazon...
Read moreIn an unexpected turn of events, an Amazon Echo device allegedly went rogue, causing confusion among users. This AI incident underscores the...
Read moreIn this article, we delve into the incident where a TV advertisement triggered an unintended order from an Amazon Echo device. This discussi...
Read moreIn a heartwarming incident, a young girl inquired about getting a dollhouse and cookies from Amazon's Alexa, illustrating the potential of A...
Read moreData source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.