Abstract
(Englisch)
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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 deploymentcentric
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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