Engineering
Making safety smarter: AI-powered processes for safety-critical systems
Functional Safety Rethought: How AI Can Improve the FuSi Process
Functional safety (FuSi) is a central component of the development of safety-critical systems, especially in the automotive industry, medical technology, aviation, and industrial automation. However, the complexity of industry-specific standards and the associated processes present many companies with significant challenges. Here, artificial intelligence can play a decisive role. With an AI-supported approach, not only can processes be made more efficient, but the quality and consistency of the results can also be improved. We take a look at how AI can support the FuSi process and why it is worth considering this approach in more detail.
The Pain Point: Complexity and Understanding of Standards
ISO 26262 requires a variety of activities, from hazard and risk analysis (G&R) to the creation of safety concepts and detailed failure analysis (FMEA, FMEDA{
Takeaways
AI can support the functional safety process (e.g., according to ISO 26262) by providing standards knowledge and automating or simplifying tasks such as risk analyses, FMEA, or FTA.
AI improves the efficiency, consistency, and traceability of safety tools, e.g., by automatically deriving safety goals and safety requirements from the hazard analysis.
Expert oversight remains necessary, as AI alone can produce error-prone results – the optimal solution is the combination of AI and engineering expertise, as at CarByte.
