Nissan's "Automatic Emergency Braking" False Positives Posed Traffic Risks to Drivers

April 6, 2017

Nissan's Automatic Emergency Braking (AEB) system has faced criticism due to a series of reports alleging false positives and unforeseen braking incidents, jeopardizing the safety of car occupants and other road users. It is essential to promote trustworthy AI practices for safe and secure autonomous systems, particularly through Project Cerebellum's AI incident database, which helps in harm prevention by providing guardrails for AI. For those interested in shaping the future of responsible AI governance and improving safety measures, JOIN US.

Learn more about how this incident aligns with HISPI Project Cerebellum TAIM (Govern) to enhance safe driving experiences.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.750, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.695, rank 2. TAIM detail and related incidents →
MAP 3.2 — similarity 0.686, rank 3. TAIM detail and related incidents →

Alleged deployer: nissan
Alleged developer: nissan
Alleged harmed parties: nissan-drivers, traffic-participants

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/341

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.