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AIReL: AI Regulatory Learning for Compliance with the EU AI Act

CORDIS · observation · Publication date unknown

AIReL: AI Regulatory Learning for Compliance with the EU AI Act The EU AI Act is the world’s first major legislative framework for high-risk AI systems. Its ambition to regulate both technological and societal risk creates challenges for national regulators tasked with interpreting and enforcing its provisions. The AIReL (AI Regulatory Learning) project addresses a critical implementation gap: how to identify which compliance requirements are difficult to formalise, and how to support regulatory learning where interpretive uncertainty is high. Bridging law, political science, legal informatics, and strategic foresight, the project introduces a replicable method for diagnosing the ‘semantic fragility’ of legal provisions; that is, their resistance to being operationalised into structured or automatable compliance tools. It hypothesises that provisions with higher semantic fragility require more adaptive regulatory learning mechanisms to ensure

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recordType

award

status

SIGNED

region

EU

value

252728.64

unit

EUR