Amazon Drone Incident: AI Misinterpretation Causes Crashes

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During December test flights in Oregon, two Amazon Prime Air drones crashed due to an AI malfunction. Faulty LiDAR sensor readings misinterpreted rain as ground contact, triggering a mid-air shutdown of the propellers. The removal of backup sensors contributed to the error, leading to the destruction of the drones.[AI generated]

Why's our monitor labelling this an incident or hazard?

The drones are autonomous AI systems relying on sensor inputs and software to make real-time decisions. The software update increased sensor sensitivity, and the removal of a physical fail-safe sensor led to incorrect altitude readings, causing the drones to shut down mid-flight and crash. This malfunction directly caused harm to property (the drones themselves) and disrupted the operation of the delivery system, which is critical infrastructure for Amazon's logistics. The event involves the use and malfunction of AI systems leading to realized harm, fitting the definition of an AI Incident rather than a hazard or complementary information.[AI generated]
AI principles
SafetyRobustness & digital securityAccountability

Industries
Robots, sensors, and IT hardwareMobility and autonomous vehiclesLogistics, wholesale, and retail

Affected stakeholders
Business

Harm types
Economic/PropertyReputational

Severity
AI incident

Business function:
LogisticsResearch and developmentMonitoring and quality control

AI system task:
Recognition/object detectionGoal-driven organisation


Articles about this incident or hazard

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Amazon delivery drones crashed during test flight after safety sensor...

2025-05-16
New York Post
Why's our monitor labelling this an incident or hazard?
The drones are autonomous AI systems relying on sensor inputs and software to make real-time decisions. The software update increased sensor sensitivity, and the removal of a physical fail-safe sensor led to incorrect altitude readings, causing the drones to shut down mid-flight and crash. This malfunction directly caused harm to property (the drones themselves) and disrupted the operation of the delivery system, which is critical infrastructure for Amazon's logistics. The event involves the use and malfunction of AI systems leading to realized harm, fitting the definition of an AI Incident rather than a hazard or complementary information.
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This Is Why Amazon's Delivery Drones Keep Crashing

2025-05-19
VICE
Why's our monitor labelling this an incident or hazard?
The drones are AI systems because they use lidar and software to autonomously navigate and deliver packages. The software update caused the lidar sensors to malfunction in rain, leading to the drones cutting power mid-flight and crashing. These crashes have caused harm to property and communities, including forest fires and public disturbance. The event describes a direct malfunction of the AI system leading to realized harm, fitting the definition of an AI Incident.
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Amazon delivery drones crashed after mistaking rain for ground: Report

2025-05-19
DroneDJ
Why's our monitor labelling this an incident or hazard?
The drones are AI systems relying on sensor data and software to make real-time decisions about flight status. The software update increased sensor sensitivity, causing erroneous altitude readings in rain, which led to the drones shutting down engines mid-flight and crashing. This is a malfunction of the AI system directly causing harm (damage to drones and disruption of delivery operations). The event involves the use and malfunction of AI systems leading to realized harm, fitting the definition of an AI Incident rather than a hazard or complementary information.
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Amazon Removed Backup Landing Sensors Before Drone Crashes

2025-05-19
supplychainbrain.com
Why's our monitor labelling this an incident or hazard?
The drones are autonomous AI systems involved in package delivery. The crashes were caused by a software update that made lidar sensors more susceptible to rain interference, leading to erroneous altitude readings and premature shutdown of propellers. This malfunction directly caused the drones to crash and be destroyed, which is harm to property. The removal of backup sensors increased the risk. Hence, the event meets the criteria for an AI Incident due to malfunction causing harm.