Human-centric Digital Twin Approaches to Trustworthy AI and Robotics for Improved Working Conditions

AI4Work将研究在人类和AI/机器人之间最佳分担工作的实用方法和工具。人工智能和机器人技术可能是从根本上改善不同领域工作条件的最有力的手段，因为它们可以支持人类操作员执行从困难和繁琐的体力劳动任务到复杂的决策任务的各种任务。AI4Work项目的愿景是改善人类、人工智能和机器人之间的沟通和合作，在提高工作效率、减轻员工压力、增加决策过程信心等方面，允许在几个领域的组织中改善不同过程中的工作条件。由于现代组织中的高度不确定性，必须在人和机器活动之间找到适当的平衡。关键的假设是，为了应对所需的灵活性和动态，滑动工作分担(SWS)可能是最适合现代组织的，其中这种平衡在运营过程中根据情景背景、基于机器的信心水平和人与人的互动而变化。该项目的关键挑战是开发一套通用的方法和工具(方法框架、数字孪生服务平台、SWS的软件构建块)，这些方法和工具可以应用于不同的部门和不同的人工智能/机器人服务，从而实现有效的经验交流。该项目将利用工作系统的活的数字双胞胎作为一种手段，以提高人工智能/机器人解决方案的效率和可信度。通过这一点，该项目旨在提高工作质量，为人类操作员创造更体面的工作，将有助于接受人工智能/机器人对不同领域工作的支持。该项目将由物流、制造业、建筑、医疗保健、教育和农业等不同行业的六个试点推动。

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.