As artificial intelligence moves beyond data analysis and content generation into operational roles, traditional IT security measures are insufficient. Gregory Shahnovsky, CEO of Modcon Systems Ltd., argues that high-consequence AI applications, which can influence physical equipment and critical infrastructure, should adopt principles from industrial functional safety engineering. This involves classifying AI applications by risk and implementing independent safety layers, similar to Safety Integrity Levels (SIL) used in industrial automation, to prevent hazardous interventions. AI
IMPACT High-consequence AI applications will require robust safety protocols beyond traditional cybersecurity to prevent physical harm.
RANK_REASON The item is an opinion piece by an industry executive discussing the application of existing safety engineering principles to AI.
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