This serves as a poignant reminder that as AI continues to progress, so must our risk management strategies, specifically through the advancement of methods like Failure Mode and Effects Analysis (FMEA) to swiftly and efficiently pinpoint and address potential risks.
Furthermore, it’s not uncommon for FMEA outcomes to be relegated to static spreadsheets, disconnected from other vital design control and Quality Management System (QMS) processes.
The current process is overly cumbersome, often leading to shortcuts and copy-paste solutions due to the mental strain of considering every conceivable failure across various departments, relying heavily on manual analysis.
It’s high time to harness AI to combat these limitations, enhancing risk assessment while also aiding human operators in identifying inconsistencies in reasoning.