Project description
Strengthening regulatory learning for the EU AI Act
As AI enters sensitive sectors such as healthcare, it must meet safety and legal standards. The EU AI Act highlights the difficulty of translating broad legal principles into enforceable practice. Supported by the Marie Skłodowska-Curie Actions programme, the AIReL project addresses this challenge by examining which AI compliance rules are hardest to formalise and how regulators can manage interpretive uncertainty. Combining law, political science, legal informatics and foresight, the project develops a method to identify the semantic fragility of legal provisions. AIReL tests its approach through healthcare and elder care AI scenarios for 2035 as well as participatory simulations with Irish regulators. The results will support national and EU oversight bodies through openly accessible guidance and regulatory learning tools.
Objective
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 compliance.
To test this, AIReL builds scenarios of embodied AI deployment in healthcare and eldercare by 2035, which are sectors where overlapping regulation and vulnerability of end-users raise the stakes of failure.
Through participatory simulation exercises with Irish regulators and oversight bodies, the project observes how learning tools are selected under different fragility conditions. The results are synthesised into a regulatory learning tool catalogue and briefings with guidance for national and EU oversight actors. All outputs will be openly accessible and formatted for uptake in real-world policy environments.
The project is hosted at Trinity College Dublin’s ADAPT Centre and supervised by Prof. Dave Lewis, a recognised expert in trustworthy AI and data governance. The researcher combines academic expertise in EU policy and law with nearly a decade of professional experience in EU affairs and strategic foresight at the European Space Agency.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2025-PF
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D02 CX56 Dublin
Ireland
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