In the first week of May 2025, the AI4Work project held a two-day meeting in Trento, Italy. The agenda included presentations of initial prototypes, technical discussions on system integration, and detailed planning for the pilot implementation across all application domains.
The BioAssist team, actively involved in both the Education and Healthcare pilots, presented a step-by-step overview of the implementation process for each pilot.
In the Education pilot, the team introduced the first version of a stress monitoring platform tailored for academic environments. The platform enables instructors to create courses and monitor aggregated stress-related indicators of students. At the same time, occupational doctors can access anonymized individual data and course-level analytics, helping them better understand stress trends.
Students interact with the platform by logging in, completing questionnaires, and syncing their wearable devices to provide biosignal data.
A key new feature showcased was the recommender module, which proposes personalized stress-reduction actions. These suggestions are first reviewed by occupational doctors before being sent to the students.
In addition, the team presented progress on the stress detection mechanisms designed for different user groups, aiming at accurate and adaptive assessment. There was also discussion and demonstration of how tools developed by other partners will be integrated into the process — for example, the What-If Tool in the Education pilot, which allows for interactive exploration of parameters influencing stress.
In the Healthcare pilot, a similar methodology is followed. However, instead of a full application, a watch app was developed for use on smartwatches worn by nurses, capturing metrics related to their activity and stress levels. Managers can create work schedules using the integrated scheduler tool, while occupational doctors have access to similar monitoring functionalities as in the education context.
As in the Education pilot, the data flows, user roles, and the integration of AI functionalities into real-world workflows were presented in detail.
The AI4Work project continues to evolve steadily, uniting experts from various fields with the shared goal of developing meaningful, trustworthy, and ethically aligned AI solutions for the workplaces of the future.
