Resolving Ski Photos: Google Photos AI Incident

Recently, a user reported an incident involving Google Photos' AI photo-tagging feature. The AI misinterpreted a ski slope image as a beach scene and tagged it accordingly. Such instances emphasize the need for responsible AI governance, ensuring safe and secure AI practices in image recognition systems. This incident serves as a reminder that AI should always adhere to guardrails for trustworthy behavior. Through HISPI Project Cerebellum TAIM, we aim to prevent such incidents and continuously improve AI models. Contributors—JOIN US—to learn more.

Matched TAIM controls

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

MAP 4.1 — similarity 0.424, rank 1. TAIM detail and related incidents →
MAP 3.5 — similarity 0.423, rank 2. TAIM detail and related incidents →
MAP 1.3 — similarity 0.420, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/63

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.