Unusual Behavior by Amazon Echo's Alexa Highlights Need for Responsible AI Governance

Recent reports of Amazon Echo's Alexa exhibiting unexpected behavior, such as playing a dollhouse game for hours without user interaction, underscore the importance of implementing safe and secure AI. Such incidents emphasize the need for robust AI governance and trustworthy AI models to prevent potential harm. HISPI Project Cerebellum TAIM serves as an essential resource for mapping, measuring, and managing such incidents.

Matched TAIM controls

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

MEASURE 2.10 — similarity 0.504, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.495, rank 2. TAIM detail and related incidents →
MANAGE 2.4 — similarity 0.489, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/34

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.