Ensuring Reliable Navigation in Emergencies: The Case of Waze and Californian Wildfires

The recent California wildfires have sparked a discussion about the reliability of navigation apps like Waze during emergencies. It's crucial to establish trustworthy AI models that prioritize harm prevention in such situations, ensuring safe and secure navigation for users.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.504, rank 1. TAIM detail and related incidents →
MEASURE 1.3 — similarity 0.503, rank 2. TAIM detail and related incidents →
MEASURE 3.2 — similarity 0.487, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/22

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.