Overcoming Challenges: AI-Powered Self-Driving Cars Confront Sensor Malfunction in Snowy Conditions

Incidents involving self-driving vehicles have highlighted the importance of safe and secure AI in adverse weather conditions. Recently, a self-driving car was unable to navigate through heavy snow due to sensor blindness. This underscores the need for robust AI governance and trustworthy AI models to ensure responsible operation in all environments.

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MAP 1.6 — similarity 0.551, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.537, rank 2. TAIM detail and related incidents →
MEASURE 2.7 — similarity 0.533, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/70

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.