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ROBUSTIFYING GENERATIVE AI THROUGH HUMAN-CENTRIC INTEGRATION OF NEURAL AND SYMBOLIC METHODS

Objective

Generative AI (GenAI), such as foundation models, represents a powerful and transformative class of AI capable of learning patterns from data and generating new content. However, GenAI has notable shortcomings that can lead to misuse or hinder its widespread adoption and positive societal and economic impact. These shortcomings stem from its lack of robustness in three key areas: technical, operational, and user robustness. Addressing these challenges in foundation models, especially in the context of human cyber-physical systems (HCPS)—the most demanding GenAI applications in terms of robustness—will pave the way for solutions applicable across various domains, unlocking GenAI's full potential.Building on the EU’s competitiveness in constructing and assuring dependable complex systems, RobustifAI, a 3-year project with a budget around €9M, brings together 18 leading partners spread over 10 EU countries but also Switzerland and India, to tackle the above three-dimensional robustness challenge in GenAI systems. We aim to make a step change to the existing GenAI system development paradigm by developing and promoting a rigorous design and deployment methodology for building robust GenAI systems. The methodology is based on the following three orthogonal innovative axes: (1) techniques to understand, express, and embed human-centric needs within the neural model, (2) principled methods for integrating neural models and symbolic techniques, and (3) enabling the adaptivity of GenAI systems to environmental changes and user variations.
RobustifAI will actively contribute to on-going EU initiatives on AI, such as the AI-BOOST project on AI challenges and other EU projects on AI efficiency, autonomous vehicles, or service robots. Its successful execution will secure for the EU a distinct and leading position in more sustainable and socially beneficial AI advancements, and strengthen EU’s vision that technical advances and societal benefits can be achieved simultaneously.

Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-RIA - HORIZON Research and Innovation Actions

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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-CL4-2024-HUMAN-03

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Coordinator

THE UNIVERSITY OF LIVERPOOL
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.

€ 783 845,00
Address
BROWNLOW HILL 765 FOUNDATION BUILDING
L69 7ZX LIVERPOOL
United Kingdom

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Region
North West (England) Merseyside Liverpool
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.

€ 783 845,00

Participants (14)

Partners (3)

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