The AI4Work project aims to radically improve working conditions by promoting collaboration between humans, artificial intelligence (AI), and robotics across a range of sectors, including industry, logistics, healthcare, construction, agriculture, and education. It envisions a work environment where AI and robots support people in various tasks, from demanding and exhausting manual labor to complex decision-making processes. To achieve this vision, AI4Work focuses on developing a methodological framework that ensures the use of trustworthy, transparent, and fair AI and robotics solutions. This will help increase efficiency and reduce stress among workers, creating a more pleasant and productive working environment. One of the key challenges of the project is creating a dynamic balance between human intervention and automated support from AI and robots. The concept of “Sliding Work Sharing” (SWS) is central to AI4Work’s approach. This strategy involves continuously adjusting the level of collaboration between humans and machines based on the needs and the level of trust placed in technological solutions. This balance will shift throughout tasks, ensuring that workers receive the support they need when they need it most.

To support the implementation of these innovative solutions, AI4Work will develop a Digital Twin Platform. This platform will enable the safe and reliable deployment of AI and robotic solutions tailored to the needs of each sector. Through six large-scale pilot projects, AI4Work will demonstrate the scalability and adaptability of these solutions in various types of human-machine interaction. The development and testing of these solutions will provide valuable insights into the social and economic impacts of AI and robotics. The project will propose innovative key performance indicators (KPIs), helping measure the success of the applications and understanding the benefits for organizations and workers.

AI4Work aims to disseminate its results by proposing standards and guidelines for future research and development of human-centered AI and robotics approaches. This will ensure the long-term adoption of these solutions by organizations, contributing to more dignified and sustainable work environments.

Stress and burnout are critical factors that affect the quality of working conditions and employee well-being, particularly in high-demand and high-pressure environments. Managing stress and preventing burnout is vital for improving performance and mental health, while also reducing illnesses and increasing productivity. As part of the AI4Work project, BioAssist, leveraging its expertise in digital health technologies, participates in two pilots: Healthcare (Pilot 4) and Education (Pilot 5). In Pilot 4, BioAssist supports nurses who work under pressure and often face high levels of stress, offering solutions for monitoring and managing biosignals such as physical activity and stress levels using smart and wearable devices. In Pilot 5, the goal is to support students, who often face anxiety due to academic obligations, by facilitating the monitoring of their emotional state and helping them adopt healthier ways of managing stress. BioAssist aims to develop a comprehensive stress monitoring and management system in the workplace, adaptable for use across various organizations and sectors where workers perform high-risk tasks under pressure.

Comments are closed.