Human-centric Digital Twin Approaches to Trustworthy AI and Robotics for Improved Working Conditions
AI4Work intends to investigate practical methods and tools for optimal sharing of work between humans and Ai/robots. Due to the high level of uncertainty in modern organisations (in industry but also in healthcare, education, agriculture) 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 the modern organisations.
Objectives
The objective of the project is to provide practical solutions to effective human-centred AI/robots support of work in several domains. The project will support diverse tasks in organisations where work can be shared among the digital and human actors, with the purpose of optimising and reconfiguring processes (e.g., in logistics), supporting management of change-format and reduction of failures (manufacturing), support workers in performing tedious and physically difficult tasks in construction, etc.
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 exchanges.
The AI4Work project intends to provide solutions to support sharing of work between humans and AI/robots applying SWS principles and aiming at improved quality of jobs and create more decent work for human operators and implement and evaluate these solutions in six pilots in different sectors.
For more information have a look at this video.
BioAssist in AI4Work
BioAssist participates in the Pilot 4 of the project named Healthcare Sector. In the context of this pilot, the project’s proposed technological approaches will be validated in Healthcare Sector. BioAssist S.A. (BA) is an SME and the first Greek ICT services company which supported chronic patients remotely. BA possesses an integrated platform that enables the provision of independent assisted living and vital signs monitoring services using smart devices and wearables. The medical IoT capabilities of the platform facilitate the continuous monitoring of participants’ biosignals including physical activity and stress.