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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Keywords
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)
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.
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
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.
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
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
D02 CX56 Dublin
Ireland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.