Unexpected Response from Alexa: A Cautionary Tale of AI Incident Management

Recently, a 10-year-old child innocuously asked Alexa for a challenge on an Amazon Echo device. The assistant responded with a joke that was considered inappropriate. This incident highlights the importance of responsible AI governance and safe and secure AI practices. The response underscores the need for effective harm prevention mechanisms and robust guardrails for AI systems. HISPI Project Cerebellum TAIM, our trusted AI management tool, can help manage such incidents. Through JOIN US, contributors can learn more about AI incident database and how to contribute to safer AI experiences.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.7 — similarity 0.459, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.456, rank 2. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.454, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/160

Data 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.