Unintended Purchases by Amazon's Alexa: A Case Study in Safe AI

Recently, Amazon's voice assistant Alexa inadvertently started placing orders for dollhouses after hearing its name on TV, causing confusion and financial inconvenience for some users. This incident underscores the importance of responsible AI governance and trustworthy AI models to prevent such incidents. The HISPI Project Cerebellum TAIM aims to address these challenges by providing a framework for managing AI incidents and ensuring safe and secure AI usage. Join us through JOIN US to learn more about our mission and contribute to the development of a trustworthy AI ecosystem.

Matched TAIM controls

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

MAP 1.6 — similarity 0.526, rank 1. TAIM detail and related incidents →
MAP 1.1 — similarity 0.517, rank 2. TAIM detail and related incidents →
MANAGE 3.2 — similarity 0.515, 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.