Health and Safety Engineers, Except Mining Safety Engineers and Inspectors
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Promote worksite or product safety by applying knowledge of industrial processes, mechanics, chemistry, psychology, and industrial health and safety laws. Includes industrial product safety engineers.
The occupation "Health and Safety Engineers, Except Mining Safety Engineers and Inspectors" has an automation risk of 45.5%, which is slightly lower than its base risk of 46.3%. This suggests that while some aspects of the role are susceptible to automation, significant portions of the job still require human involvement. Factors contributing to this moderate automation risk include the complexity of safety engineering tasks, the need for specialized problem-solving, and regulatory compliance. Technology can streamline routine aspects of the job, but the unpredictable and context-specific nature of many duties limits how much can be automated. Among the most automatable tasks are investigating industrial accidents, injuries, or occupational diseases to determine causes and preventive measures; conducting research to evaluate safety levels for products; and evaluating product designs for safety. These responsibilities often involve data analysis, pattern recognition, and standardized safety assessments—processes that can be efficiently carried out by advanced AI or software tools. Automated systems can quickly analyze large datasets, run scenario simulations, and identify trends, making these tasks more likely to be handed off to intelligent machines as the technology evolves. On the other hand, some core functions remain resistant to automation due to their hands-on and situational nature. The three most resistant tasks are installing safety devices on machinery or directing their installation, inspecting facilities and equipment to identify and correct hazards and ensure compliance, and checking the physical integrity of floors to support heavy machinery. These activities require physical presence, sensory judgment, adaptability, and the ability to make in-the-moment decisions in dynamic environments. Bottlenecks in automated solutions emerge from essential human skills like originality, evaluated at around 3.4% and 3.3%, which encompass creative problem-solving and novel solution development—critical when devising new safety procedures or responding to unfamiliar hazards.