Leveraging Artificial Intelligence for Robust Incident and Near-Miss Investigations Enhancing Job Safety Analyses

Safety management systems have helped reduce non-serious injuries, but serious injury and fatality incidents are declining more slowly. Identifying potential SIFs (pSIFs) is crucial for recognizing hazards and implementing controls. Discover how artificial intelligence effectively analyzes incident data to identify pSIFs and provides insights into hazards, root causes and preventive measures. In addition, while addressing pSIFs is an important step in reducing SIFs, this reactive approach relies on incident reporting. Learn how Job Safety Analyses offer a more proactive method to assess risks, document controls and identify additional needs. However, JSAs can be time-consuming, require strong hazard recognition skills and are often subjective. Uncover how AI further enhances the JSA process by identifying overlooked hazards and recommending effective controls, helping organizations better manage and mitigate SIF risks.