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mUlti-Level Trustworthiness to IMprove the Adoption of hybrid arTificial intelligencE

Project description

DEENESFRITPL

Trustworthy AI for industries

An increasing number of organisations and corporations have incorporated AI technologies for production and other purposes. Unfortunately, due to a lack of validity, ethics and explainability, the wide-scale adoption of AI has been fraught with difficulties despite multiple potential benefits. The EU-funded ULTIMATE project will develop an industrial-grade hybrid AI model that will address these challenges and enable AI to spread even further through the industrial sector. To achieve this, the initiative will provide the stakeholders with methods and tools to ensure trustworthiness (for acceptance purposes) all along the hybrid AI model's life cycle in order to improve worker and AI cooperation.

Objective

AI has entered the business mainstream, opening opportunities to boost productivity and innovation but suffer limitations hindering wider adoption of model-based or data-driven AI algorithms in industrial settings. Both approaches complement each other and form a critical foundation for the adoption of AI in industry. However, hybrid AI does not fully address the issue of trust (validity, explainability, and ethics). ULTIMATE will pioneer the development of industrial-grade hybrid AI based on three stages to ensure trustworthiness, relying on interdisciplinary data sources and adhering to physical constraints (1st stage), as well as the development of tools for explaining, evaluating and validating hybrid AI algorithms and asserting their adherence to ethical and legal regulations (2nd stage). These will be exemplified using real-world industrial use cases (3rd stage) in the Robotics (collaboration between human and robots for logistics activities) and Space domains (Failure detection for satellites) to promote the widespread adoption of hybrid AI in industry.
The breakthrough generic hybrid AI architectures with improved explainability and interpretability and the predictive model on trustworthiness developed in ULTIMATE will provide industrials with improved shopfloor efficiency (reduction of downtime by 30% and of operational costs) and empower their staff through trustful human/machine cooperation allowing highly skilled jobs and increasing decision power and safety. This will be beneficial to European industry to gain pre-emptive advantage in the market of industrial AI solutions and will eventually increase trustworthiness in the use of hybrid AI components by the wider public.
Extending over 36 months, the ULTIMATE project brings together key industrial stakeholders, with relevant end-users from manufacturing sectors, leading academic and research institutions, and SMEs to collaboratively investigate and lead the development of hybrid AI approaches.

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Call for proposal

HORIZON-CL4-2021-HUMAN-01

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Funding Scheme

RIA - Research and Innovation action

Coordinator

THALES
Net EU contribution
€ 975 250,00
Address
Tour carpe diem place des corolles esplanade nord
92400 Courbevoie
France

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Region
Ile-de-France Ile-de-France Hauts-de-Seine
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Other funding
€ 0,00

Participants (7)

Partners (1)

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EC signature date 12 June 2022
Last update: 8 September 2022

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Permalink: https://cordis.europa.eu/project/id/101070162

European Union, 2023