Artificial intelligence is rapidly becoming part of industrial automation and robotics from machine vision and object detection to predictive diagnostics and autonomous decision-making. But as AI takes on safety-relevant functions, traditional approaches to functional safety face new challenges.

Unlike conventional software, AI and machine learning systems can be data-driven, adaptive, and non-deterministic. This creates new questions around how these systems should be assessed, verified, validated, and integrated into safety-critical applications.

ISO/IEC TS 22440 addresses this emerging challenge by providing a framework for applying functional safety principles to AI-enabled systems in industrial applications. The technical specification considers the AI lifecycle alongside the traditional functional safety lifecycle, including areas such as hazard analysis, AI-specific failure modes, risk reduction, etc.

Why does this matter for automation?
As manufacturers increasingly introduce AI into automation systems, understanding how to manage AI-related safety risks will become increasingly important. Applications can include:

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