FACTS
- Automated systems can fail when sensors provide incomplete, noisy, or incorrect data, causing the AI to misjudge distances, obstacles, or human presence.
- Software bugs, outdated firmware, or flawed algorithms can cause automation to act unpredictably, perform unintended motions, or execute tasks at the wrong time.
- Automation systems can fail during edge-case conditions—unusual lighting, weather, or object shapes—because the AI model has not been trained on those scenarios.
- Network or communication interruptions can stop commands mid-operation, delay emergency signals, or cause robots to “freeze” in unsafe positions.
- Autonomous systems can behave dangerously when safety logic is overridden, disabled, or improperly […]
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