SOURCE-LINKED INTELLIGENCE
Fostering Artificial Intelligence Trust for Humans towards the optimization of trustworthiness through large-scale pilots in critical domains
Fostering Artificial Intelligence Trust for Humans towards the optimization of trustworthiness through large-scale pilots in critical domains 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-
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 7455585
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.