Description du projet
Un lieu de travail plus efficace grâce à un partage optimal du travail entre les êtres humains et l’IA/les robots
Dans un paysage technologique en évolution rapide, la collaboration entre l’humain et la machine constitue un défi pressant pour la main-d’œuvre moderne. Alors que l’intelligence artificielle (IA) et la robotique s’intègrent à divers secteurs, il reste difficile de trouver le bon équilibre entre l’ingéniosité humaine et l’efficacité des machines. Le besoin de méthodes optimales de partage du travail devient primordial, qu’il s’agisse de travail manuel ou de processus décisionnels complexes. Dans ce contexte, le projet AI4Work, financé par l’UE, vise à explorer et à mettre en œuvre des solutions pratiques pour une collaboration transparente entre les êtres humains et l’IA/les robots. Le principal défi consiste à mettre au point des outils polyvalents tels que l’approche du partage des tâches par glissement (PTG), qui adapte l’équilibre entre les activités humaines et mécaniques en fonction du contexte situationnel et des interactions.
Objectif
AI4Work will investigate practical methods and tools for optimal sharing of work between humans and AI/robots. AI and robotics are likely to be most powerful means for radical improvement of working conditions in diverse domains, as they can support human operators in diverse tasks starting from difficult and tedious manual labor tasks up to complex decision-making tasks. The vision of the AI4Work project is to improve communication and collaboration between humans, AI and robots, allowing for an improvement of the working conditions within different processes in organisations in several domains in terms of increased efficiency of work, reduction in stress upon employees, increased confidence in decision-making process etc. Due to the high level of uncertainty in modern organisations an appropriate balance between human and machine activities must be found. The key assumption is that to cope with the required flexibility and dynamics, Sliding Work Sharing (SWS), where this balance varies during the operation depending on the situational context, machine-based confidence levels and human interactions, is likely to be the most appropriate for modern organisations. The key challenge of the project is to develop a set of common methods and tools (methodology framework, digital twin service platform, SW building blocks for SWS) that can be applied in diverse sectors and with different AI/robotics services, allowing for an effective experience exchange. The project will make use of living digital twins of working systems as a mean to increase efficiency and trustworthiness of AI/robotics solutions. By this, the project, aiming at improved quality of jobs and creating more decent work for human operators, will contribute to the acceptance of the AI/robots support of work in diverse domains. The project will be driven by six pilots in different sectors: logistics, manufacturing industry, construction, healthcare, education and agriculture.
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HORIZON-IA - HORIZON Innovation ActionsCoordinateur
28359 Bremen
Allemagne