Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

HUMAI - Test and demonstration of HUMan-centered AI

Reference number
Coordinator RISE Research Institutes of Sweden AB
Funding from Vinnova SEK 2 640 560
Project duration November 2024 - April 2026
Status Ongoing
Venture Advanced digitalization - Enabling technologies
Call Test and demo of advanced digitization in a real environment

Important results from the project

National Gummi has changed their working method and become more data-driven. They have not yet reached the goal linked to the reduction of waste of materials, probably because more data is needed. However, the project has led to: a data-driven way of working with high traceability, increased repeatability, systematic follow-ups and improved routines and higher engagement among operators. During the project, we have also spread knowledge about human-centered AI.

Expected long term effects

Collaboration within the consortium will continue even after the end of the project, and several new initiatives are expected to emerge. The knowledge developed in the project constitutes a solid foundation for further work. A concrete sub-result is the developed template for human-centered AI, which we will share with small and medium-sized companies that want to undertake a similar development journey as National Gummi.

Approach and implementation

The project largely followed the schedule and the work packages worked well. However, the uncertainty about how far we would reach with AI‑lösning T2 made the project completion less clear, something that can be improved in the future. During the work, several new ideas emerged within digitalization and automation, which meant that we worked flexibly and experimentally to find the most valuable solutions.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 5 May 2026

Reference number 2024-02475