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| Funder | European Commission |
|---|---|
| Recipient Organization | Maggioli Spa |
| Country | Italy |
| Start Date | Oct 01, 2023 |
| End Date | Sep 30, 2026 |
| Duration | 1,095 days |
| Number of Grantees | 18 |
| Roles | Participant; Third Party; Associated Partner; Coordinator |
| Data Source | European Commission |
| Grant ID | 101121042 |
THEMIS 5.0 draws researchers and practitioners from diverse disciplines in order to secure that AI-driven hybrid decision support istrustworthy and takes place in accordance with the particular human user needs and moral values as well as adhere with the keysuccess indicators of the embedding socio-technical environment.
It implements an AI-driven, human-centered TrustworthinessOptimisation Ecosystem that users can use to achieve fairness, transparency, and accountability.
In THEMIS 5.0, the trustworthinessvulnerabilities of the AI-systems are determined using an AI-driven risk assessment approach, which, effectively, translates thedirections given in the Trustworthy AI Act and relevant standards into technical implementations.
THEMIS 5.0 will innovate in itsconsideration of the human perspective as well as the wider socio-technical systems’ perspective in the risk management-basedtrustworthiness evaluation.
An innovative AI-driven conversational agent will productively engage humans in intelligent dialoguescapable of driving the execution of continuous trustworthiness improvement cycles.
THEMIS 5.0 adopts the European human-centricapproach to the design, development, deployment and operation of the THEMIS 5.0 ecosystem and, in this respect, THEMIS 5.0 willbase the implementation of its AI-driven ecosystem on strong co-creation processes.
THEMIS 5.0 will pilot and evaluate the humancentricecosystem using 3 well-defined use cases, each addressing a specific high priority and critical application and industrialsectors.
The THEMIS 5.0 solution enhances and accelerates the shift towards more trusted AI-enabled services by unlocking the powerof humans to evaluate the trustworthiness of AI solutions and provide feedback on how to improve the AI systems.
Users can nowbetter challenge AI systems, pinpoint any biases or problems, embed their own values and norms, and provide feedback to AIdevelopers and providers for improvement.
Athens Technology Center Anonymi Viomichaniki Emporiki Kai Techniki Etaireia Efarmogon Ypsilis Technologias; Meditcinsky Universitet-Plovdiv; Trustilio Bv; Compagnie Ibm France Sas; Information Catalyst Sl; Sintef As; Data Analytics for Industries 4 0 Sl; 21C Consultancy Limited; Maggioli Spa; University of Southampton; Fundacion de la Comunidad Valenciana Para la Investigacion, Promocion Y Estudios Comerciales de Valenciaport; Fonden Democracy X; Attivita Industriali, Commerciali E Finanziarie Srl Aicof; Engineering - Ingegneria Informatica Spa; Institouto Filosofias Kai Technologias Astiki Mi Kerdoskopiki Etaireia; Katholieke Universiteit Leuven; Erevnitiko Panepistimiako Institouto Systimaton Epikoinonion Kai Ypologiston; Athens News Agency-Macedonian Press Agency S.A.
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