(DNV: Høvik, Norway) -- DNV, a risk management and assurance company, has published a suite of recommended practices (RPs) that will enable companies operating critical devices, assets, and infrastructure to safely apply artificial intelligence (AI).

High-quality AI systems require strong building blocks: data, sensors, algorithms, and digital twins. The nine new or updated RPs cover each of these digital building blocks. DNV’s strong sector knowledge of the maritime, energy, and healthcare sectors, among others, enables it to understand not just how AI works, but how it interacts with other systems in complex infrastructure and assets.

The advent of AI requires a new approach to risk. Whereas conventional mechanical or electric systems degrade over years, AI-enabled systems change within milliseconds. Consequently, a conventional certificate provided by DNV, which normally has a three- to five-year validity, could be invalidated with each collected data point. This necessitates a different assurance methodology, and a thorough understanding of the intricate interplay between a system and AI to allow for a proper assessment of failure modes as well as potential for real-world performance enhancement.

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