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Human-Centred Machine Learning: Lighter, Clearer, Safer

Project description

Trustworthy, safe and efficient AI development

The EU-funded ACHILLES project addresses the 'Achilles' heel' of artificial intelligence (AI): trust and efficiency, tackling specific challenges like fairness, transparency, privacy and sustainability. Through a modular framework and tools for Responsible AI development, ACHILLES empowers developers to build AI systems that are ethical, robust and aligned with legal standards. A key innovation is the ACHILLES integrated development environment (IDE), a specification-oriented toolkit that bridges the gap between decision-makers, developers and end-users. It features a 'copilot' to guide best practices and align outputs with ethical and societal values. Validated across diverse use cases such as healthcare and content creation, ACHILLES aims to position Europe as a leader in transparent, sustainable and trustworthy AI while addressing pressing societal and regulatory needs.

Objective

"The rapid development and adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies have brought significant opportunities and challenges. While AI has the potential to revolutionise industries and improve lives, there are growing concerns related to privacy, security, fairness, transparency and the environmental footprint. The Olympics motto ""Faster, Higher, Stronger"" also applies to recent impressive AI advancements, but now is the time to update it to ""Lighter, Clearer, Safer"". We propose ACHILLES to build an efficient, compliant, and trustworthy AI ecosystem. At its core is an iterative development cycle inspired by clinical trials encompassing four modules. It begins with human-centric methodologies, followed by data-centric operations, model-centric strategies, and deployment-centric optimisations. It returns to human-centric approaches, focusing on explainability and model monitoring. This iterative cycle aims to enhance AI systems' performance, robustness and efficiency while ensuring they comply with the legal requirements and highest ethical standards.
Another innovation is the development of an ML-driven Integrated Development Environment (IDE). The ACHILLES IDE will facilitate seamless integration between the iterative cycle's modules, enabling users to develop efficient, compliant, and trustworthy AI solutions more effectively and responsibly. The project aims to significantly impact European AI development, aligning with the region's guidelines and values. Through innovative techniques and methodologies based on the collaboration of a multidisciplinary team of 16 partners from 10 countries, ACHILLES will foster a strong AI ecosystem that respects privacy, security, and ethical principles across various sectors. By validating the results in real use cases (including healthcare, ID verification, content creation and pharmaceuticals), ACHILLES will showcase its practical applicability and potential for widespread adoption."

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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)

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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.

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-CL4-2024-DATA-01

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Coordinator

ASSOCIACAO FRAUNHOFER PORTUGAL RESEARCH
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.

€ 1 454 716,25
Address
RUA ALFREDO ALLEN 455/461
4200-135 Porto
Portugal

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Region
Continente Norte Área Metropolitana do Porto
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.

€ 1 454 716,25

Participants (14)

Partners (2)

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