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Fostering Artificial Intelligence Trust for Humans towards the optimization of trustworthiness through large-scale pilots in critical domains

Objective

The increasing requirement for trustworthy AI systems across diverse application domains has become a pressing need not least due to the critical role that AI plays in the ongoing digital transformation addressing urgent socio-economic needs. Despite the numerous recommendations and standards, most AI practitioners and decision makers, still prioritize system performance as the main metric in their workflows often neglecting to verify and quantify core attributes of trustworthiness including traceability, robustness, security, transparency and usability. In addition, trustworthiness is not assessed throughout the lifecycle of AI system development so developers often fail to grasp a holistic view across different AI risks. Last, the lack of a unified, multi-disciplinary AI, Data and Robotics ecosystem for assessing trustworthiness across several critical AI application domains hampers the definition and implementation of a robust AI paradigm shift framework towards increased trustworthiness and accelerated AI adoption.
To address this critical unmet needs, FAITH innovation action will develop and validate a human-centric, trustworthiness optimization ecosystem, which enables measuring, optimizing and counteracting the risks associated with AI adoption and trustworthiness in critical domains, namely robotics, education, media, transport, healthcare, active ageing, and industrial processes through seven international Large Scale Pilots. Notably, cross-fertilization actions will create a joint outcome, which will bring together the visions and specificities of all the pilots. To this end, the project will adopt a dynamic risk management approach following EU legislative instruments and ENISA guidelines and deliver tools to be widely used across different countries and settings while diverse stakeholders communities will be engaged in the each pilot delivering seven sector-specific reports on trustworthiness to accelerate AI take-up.

Fields of science (EuroSciVoc)

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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-IA - HORIZON 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-CL4-2023-HUMAN-01-CNECT

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Coordinator

IDRYMA TECHNOLOGIAS KAI EREVNAS
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.

€ 1 253 921,50
Address
N PLASTIRA STR 100
70 013 IRAKLEIO
Greece

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Region
Νησιά Αιγαίου Κρήτη Ηράκλειο
Activity type
Research Organisations
Links
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.

€ 1 253 921,50

Participants (16)

Partners (1)

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