US Navy's Autonomous Drone Fleet Faces AI Failures and Accidents During Testing

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US Navy tests of autonomous maritime drones, developed by Saronic and BlackSea Technologies, suffered multiple AI-related malfunctions, including software glitches that caused a collision between drones and the capsizing of a support boat, throwing its captain into the water. These incidents highlight operational and safety risks from AI system failures.[AI generated]

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

The autonomous drone boats are AI systems as they perform autonomous navigation and decision-making. The software glitch and subsequent collision directly caused harm to property (the vessels). The incident is a direct result of the AI system's malfunction during use, fulfilling the criteria for an AI Incident.[AI generated]
AI principles
SafetyRobustness & digital securityAccountability

Industries
Government, security, and defenceRobots, sensors, and IT hardwareMobility and autonomous vehicles

Affected stakeholders
Workers

Harm types
Physical (injury)Economic/Property

Business function:
Research and developmentMonitoring and quality control

AI system task:
Recognition/object detectionReasoning with knowledge structures/planningGoal-driven organisation


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