Boy requests song from Amazon Alexa, but gets porn instead
An unfortunate incident occurred when a child asked for a song on Amazon's Alexa, receiving inappropriate content instead. The event serves...
Read moreEvidence-based Transparent For governance
An unfortunate incident occurred when a child asked for a song on Amazon's Alexa, receiving inappropriate content instead. The event serves...
Read moreAn incident involving Amazon's Alexa device illustrates the need for robust AI governance and responsible design. The voice assistant provid...
Read moreAn unfortunate incident involving a minor in the US has highlighted potential vulnerabilities in AI-enabled devices. A teenager was able to...
Read moreRecent AI incidents involving Amazon's Alexa have highlighted the need for heightened safety measures, particularly when it comes to protect...
Read moreRecent reports reveal an incident where a toddler unintentionally accessed explicit content through an Amazon Echo Dot device. This undersco...
Read moreRecently, a child asked a popular digital assistant to play a song. However, the response was inappropriate and explicit content appeared. T...
Read moreA recent incident involving Amazon's AI system, designed to create custom phone cases, resulted in a series of unexpected outcomes that high...
Read moreExploring an incident where an Amazon bot is designing both exceptional and problematic smartphone cases, highlighting the importance of res...
Read moreExplore the latest advancements in responsible AI with Amazon's new AI-driven smartphone case manufacturing process. This innovation demonst...
Read moreIn an unexpected turn of events, an Amazon seller automating phone case production has been consistently producing subpar products. The issu...
Read moreAn Amazon artificial intelligence bot has been generating designs for unique and high-quality phone cases, outperforming traditional design...
Read moreIn an unexpected turn of events, an Amazon seller utilized artificial intelligence (AI) to design phone cases, only to find that things took...
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.