FACTS

• Predictive Risk Identification:; AI systems analyze historical incident data to identify patterns and predict where hazards are most likely to occur before incidents happen.
• Real-Time Hazard Detection:; AI-powered monitoring systems can detect unsafe behaviors, proximity risks, or equipment issues in real time, allowing faster intervention.
• Data Quality Dependency:; AI effectiveness depends on accurate and complete data—poor data inputs can lead to missed hazards or incorrect risk predictions.
• Overreliance on Automation:; Workers may trust AI systems too much and reduce active hazard awareness, increasing risk if systems fail or miss critical signals.
• Integration with Existing Systems:; AI tools must align […]

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