Innovating Works

FAIRWork

Financiado
Flexibilization of complex Ecosystems using Democratic AI based Decision Support...
Flexibilization of complex Ecosystems using Democratic AI based Decision Support and Recommendation Systems at Work We provide a decision support system that (a) integrates digital twins to optimize the overall production process according multiple parameters, and (b) democratizes decision making granting human worker and machines a say during... We provide a decision support system that (a) integrates digital twins to optimize the overall production process according multiple parameters, and (b) democratizes decision making granting human worker and machines a say during decision making. Each individual demand is consolidated to achieve a decision support, which is then optimized. We combine (a) model-based approaches to transparently design, simulate and improve decision making, (b) co-creation laboratory using models and physical experiments as communication media to all actors and, (c) reliability indication of data and AI algorithms. Those models can be assessed according legal, ethical, security and safety concerns and in case of approval ensure that only compliant models are used for decision making. Hybrid decision making is provided by combining human- and machine-centric knowledge representation into a holistic model. Simulations on time, cost, quality, safety or energy efficiency contribute to transparent decision making, which evolves via model changes. BOC provides graphical modelling enabling intuitive knowledge representations for humans. JOTNE provides data repositories for machines. JR provides data marketplaces and optimizations. MORE enable decentralized decision making with AI. RWTH provides both (a) AI and intuitive machine interaction and (b) social and ethical guidance for trustful decision making. The use cases of the car manufacturer CRF and the robot plant provider FLEX are challenged by human and machine interaction, complex environment interactions and influence factors requiring continuous re-arrangements. The challenge is to consider each actors needs in a concise and complex situation still targeting an overall optimization. The non-profit organization OMiLAB provides its world-wide network on modelling omilab.org, and interacts with DIH, PPP on AI, Data and Robotics and contribute with corresponding CSA as part of their mission. ver más
31/08/2025
BOC PRODUCTS SERV...
3M€
Perfil tecnológico estimado
Duración del proyecto: 38 meses Fecha Inicio: 2022-06-14
Fecha Fin: 2025-08-31

Línea de financiación: concedida

El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-06-14
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
HORIZON-CL4-2021-DIGITAL-EMERGING-01-10: AI, Data and Robotics at work (AI, Data and Robotics Partnership) (IA)
Cerrada hace 3 años
Presupuesto El presupuesto total del proyecto asciende a 3M€
Líder del proyecto
BOC PRODUCTS SERVICES AG No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5