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AI-CURE: An Identifiable and Causal Understanding for shortcuts Reduction

Objective

The AI-CURE project pioneers a new paradigm for tackling shortcut learning in deep neural networks by integrating Causality and identifiability theory—two perspectives that have not yet been unified in this domain. While current strategies against shortcuts rely on heuristics and ad-hoc adjustments, AI-CURE will provide a new theoretical framework that formally explains and mitigates shortcut behavior in neural networks. The project extends recent advances in identifiability from Neuro-Symbolic models by the candidate to general neural representations, and develops a causal theory of distribution shifts to yield provable conditions for robustness. Building on this foundation, AI-CURE will introduce sure-proof mitigation strategies and sanity checks, enabling guarantees for safe model deployment. Finally, by consolidating scattered resources into a unified benchmark, AI-CURE will establish the first systematic platform for evaluating shortcut mitigation. Moreover, it will aggregate different methods and approaches together through a theory-driven field review. This interdisciplinary approach, combining mathematical modelling and AI, not only advances the state of the art theoretically but also provides actionable tools and new community standards, laying the groundwork for safer and more trustworthy AI in critical domains such as autonomous driving.

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.

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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)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

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.

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.

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

KOBENHAVNS UNIVERSITET
Net EU contribution

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.

€ 247 553,28
Address
NORREGADE 10
1165 KOBENHAVN
Denmark

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Region
Danmark Hovedstaden Byen København
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

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