Partly True
Claims that AI-based industrial accident risk prediction is out of step with field-level prevention programs are not fully supported, but the scale and target discrepancies and the need for improvement are recognized, according to a review of available sources.
The AI prediction system for high-risk workplaces, illustrated by the Korea Occupational Safety and Health Agency, is intended to identify accident risks in advance. However, sources including the Environment Daily and Herald Economy indicate that the system's operation does not fully align with on-site prevention activities, leaving a gap between predicted risks and actual prevention measures.
The discrepancy in scale and target selection between AI-based predictions and field prevention programs is confirmed across the reviewed reporting. Sources also point to the need for improvement in how the system is applied at the workplace level.
The broader claim, as originally stated, is not fully substantiated by the available evidence. While the mismatch concerns and calls for improvement are supported, the full extent of the claimed disconnect remains unconfirmed.
The claim that AI-based industrial accident risk prediction is out of step with on-site prevention programs is therefore Partly True.