Nissan's Automatic Emergency Braking (AEB) systems in multiple vehicle models from 2015-present were alleged to malfunction by detecting non-existent obstacles and triggering sudden braking at inappropriate times, causing crashes, injuries, and safety hazards.
Nissan equipped multiple vehicle models from 2015-present with Forward Emergency Braking (later renamed Automatic Emergency Braking) systems designed to detect obstacles and automatically apply brakes to prevent collisions. However, class action lawsuits filed starting in 2018 alleged these systems were defective, detecting non-existent obstacles and triggering sudden braking in dangerous situations like intersections, bridges, and highways. The affected vehicles include 2015-present Nissan Rogue, Rogue Sport, Murano, Altima, Maxima, Armada, Pathfinder, Leaf, Sentra, and other models. According to reports, the systems would either brake for phantom objects or suddenly shut off with dashboard warnings about radar obstruction. The National Highway Traffic Safety Administration received over 1,400 complaints about malfunctioning AEB systems, with reports of 14 crashes and 5 injuries specifically in Nissan Rogues. The Center for Auto Safety petitioned NHTSA to investigate after finding 87 consumer complaints of unintended braking. Despite technical service bulletins sent to dealerships acknowledging the problems, Nissan initially refused to issue recalls and allegedly told customers their vehicles operated as designed. The incidents occurred at various speeds including highway speeds of 65 mph, creating dangerous situations where vehicles would suddenly stop in traffic.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
AI systems that fail to perform reliably or effectively under varying conditions, exposing them to errors and failures that can have significant consequences, especially in critical applications or areas that require moral reasoning.
AI system
Due to a decision or action made by an AI system
Unintentional
Due to an unexpected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed