Objective
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-disciplinary AI, Data and Robotics ecosystem for assessing trustworthiness across several critical AI application domains hampers the definition and implementation of a robust AI paradigm shift framework towards increased trustworthiness and accelerated AI adoption.
To address this critical unmet needs, FAITH innovation action will develop and validate a human-centric, trustworthiness optimization ecosystem, which enables measuring, optimizing and counteracting the risks associated with AI adoption and trustworthiness in critical domains, namely robotics, education, media, transport, healthcare, active ageing, and industrial processes through seven international Large Scale Pilots. Notably, cross-fertilization actions will create a joint outcome, which will bring together the visions and specificities of all the pilots. To this end, the project will adopt a dynamic risk management approach following EU legislative instruments and ENISA guidelines and deliver tools to be widely used across different countries and settings while diverse stakeholders’ communities will be engaged in the each pilot delivering seven sector-specific reports on trustworthiness to accelerate AI take-up.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencesbiological sciencesecologyecosystems
- social sciencessociologygovernancecrisis management
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
Keywords
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
70013 Irakleio
Greece
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Participants (16)
1017 HL Amsterdam
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
15233 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
7034 Trondheim
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00185 Roma
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106 82 ATHINA
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021396 Bucuresti
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15351 PALLINI
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46024 Valencia
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3470 SLEMMESTAD
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56126 Pisa
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46980 Paterna
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3000 Leuven
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11415 TALLIN
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
70015 Noci
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48122 Ravenna
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50121 Florence
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Partners (1)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
SO17 1BJ Southampton
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