FACTS

1. Automated systems can fail when sensors provide incomplete, noisy, or incorrect data, causing the AI to misjudge distances, obstacles, or human presence.
2. Software bugs, outdated firmware, or flawed algorithms can cause automation to act unpredictably, perform unintended motions, or execute tasks at the wrong time.
3. 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.
4. Network or communication interruptions can stop commands mid-operation, delay emergency signals, or cause robots to “freeze” in unsafe positions.
5. Autonomous systems can behave dangerously when safety logic is overridden, disabled, or improperly […]

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