The process of learning from mistakes and improving workplace safety has become increasingly proactive, with organizations seeking out near misses and hazards as learning opportunities. However, implementing effective near miss reporting systems can be challenging, as workers may be hesitant to report and there may be concerns about fairness in handling such reports. Additionally, it can be difficult for managers to process and make sense of large numbers of reports.
Fortunately, AI technology can provide solutions to these challenges. reporting systems, for example, can be made even easier to use and more effective through AI's ability to recognize machinery, vehicles, and tools in photographs and identify patterns of problems across reports. AI can also enhance the capabilities of CCTV cameras, turning them into tireless eyes that detect hazardous situations and behaviors and report them in real-time.
The data collected through AI reporting can be used to demonstrate a just culture within the organization, showing that the goal is not to identify individuals who are breaking rules but rather to understand the underlying causes of hazardous situations. By involving workers in identifying and addressing these causes, the organization can create a workplace where safety is prioritized and natural behavior aligns with written procedures.
Tracking near misses through AI reporting also provides more reliable data for identifying patterns and trends, allowing managers to make proactive improvements and measure the impact of safety initiatives. This can lead to less time spent on reports and more time for engaging with workers on safety and health.
In summary, while AI cannot replace the need for workers to report issues in the workplace, it can provide valuable insights and streamline the reporting and analysis process. By leveraging AI technology, organizations can create a safer and more proactive workplace culture.
Automated supervision, monitoring and risk prediction in areas of safety, quality and productivity.
