Abstract
(Englisch)
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Along the whole value chain in using data for economic purposes, guidelines and tools are required to make the business
of the different stakeholders successful, and the end-users confident that none of their rights are endangered. CERTAIN
addresses these needs and delivers solutions for data holders, dataspaces and AI systems providers, and AI systems
deployers, which are the primary actors of the data and AI value chain. They must be compliant with applicable European
regulations, must reach this compliance in a timely manner, and at reasonable cost.
CERTAIN delivers guidelines and technical tools to help with compliance, to assess data quality, to measure biases in
datasets, and to protect privacy. CERTAIN sets the foundation of AI certification: it translates the regulations to business
terms, builds a directory of certification entities per business, develops a platform to streamline the certification process,
and tools for AI system providers and certification entities so that they could respectively prepare and run a certification
process.
In case of security breach, not only privacy may get compromised, but also AI models may become useless and lead
to extremely damageable decisions. To make sure that AI-based products are of high quality and reliability, CERTAIN
develops security tools and methods, specifically suitable for dataspaces and AI systems.
CERTAIN addresses the environmental footprint of the AI value chain. Innovative techniques are elaborated to reduce
energy consumption when building and running AI systems. This is beneficial not only for the green deal but to reduce
cost for AI stakeholders.
As importantly, CERTAIN considers the end-users perspective, and provides templates and guidelines that may be used
by AI systems deployers to reassure end-users on the use of their private data. The project tests its results on seven
operational pilots in six different business areas, considering all the actors along the AI value chain.
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