(32bs) Enhancing Process Safety Knowledge Management Using AI Tools

The integration of Artificial Intelligence (AI) is revolutionizing Process Safety Management (PSM) across various industries. AI-powered tools emerge as valuable assistants for managing Process Safety Information (PSI), and ultimately for enhancing the overall effectiveness of the PSM system. These tools offer platforms for uploading and analyzing a vast array of process documentation, including datasheets, Piping and Instrumentation Diagrams (P&IDs), historical data, equipment lists, instrument lists, operating manuals, Safety Data Sheets (SDS), and cause and effect diagrams. This centralized repository ensures comprehensive information accessibility and usability throughout the organization.

The true value of AI lies in its ability to interpret and analyze this information, transforming it into actionable knowledge. AI assistants can respond to complex, context-specific user queries, facilitate predictive maintenance, optimize operational procedures, and enhance compliance with safety regulations. By integrating theoretical knowledge with real-time process information, AI tools enable deep analysis and support informed decision-making across all aspects of PSM.

The systematic transformation of information into knowledge and ultimately wisdom is the core principle of Process Safety Knowledge Management (PSKM). PSKM is a system designed to capture, organize, maintain, and deliver the right process safety knowledge to the right people at the right time to improve process safety. AI-powered tools seamlessly align with PSKM principles and facilitate the transition from data to actionable insights.

While the adoption of AI-driven tools in PSI management offers significant benefits, it also raises concerns about information security. Ensuring that sensitive process information is kept secure is paramount.

This paper explores the potential effects of implementing AI-powered assistants in industrial settings, evaluates their impact on safety outcomes, and outlines considerations for effectively integrating AI technologies into existing process safety knowledge management systems while ensuring the security of the process information.