Human-centered Trustworthiness Optimisation in Hybrid Decision Support

Digital, Industry & SpaceHORIZON-RIAID: 101121042
EC Contribution
โ‚ฌ70,752
Consortium Size
18 orgs
Start Year
2023
โ–ถSummary

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 systemsโ€™ 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.

Consortium (18)

Project Results (13)

Source: CORDIS, the EU research results database.

โ–ถPublications (4)
Optimizing AI System Security: An Ecosystem Recommendation to Socio-Technical Risk Management
AHFE International, Human Factors in Design, Engineering, and Computingยท 2025DOI
Kitty Kioskli, Antonios Ramfos, Steve Taylor, Leandros Maglaras, Ricardo Lugo
Trustworthiness Optimisation Process: A Methodology for Assessing and Enhancing Trust in AI Systems
Electronicsยท 2025DOI
Mattheos Fikardos, Katerina Lepenioti, Dimitris Apostolou, Gregoris Mentzas
Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioral Strategies and Digital Twins
2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)ยท 2024DOI
Yagmur Yigit, Kitty Kioskli, Laura Bishop, Nestoras Chouliaras, Leandros Maglaras, Helge Janicke
Leveraging the European Cybersecurity Skills Framework(ECSF) in EU Innovation Projects: Workforce Development Through Skilling, Upskilling, and Reskilling
2024 IEEE Global Engineering Education Conference (EDUCON)ยท 2024DOI
Paresh Rathod, Nineta Polemi, Martti Lehto, Kitty Kioskli, Jan Wessels, Ricardo Lugo
โ–ถDeliverables (8)
โ–ถOther Results (1)
Periodic Reporting for period 1 - THEMIS 5.0 (Human-centered Trustworthiness Optimisation in Hybrid Decision Support)