Results

The AIthena project has produced a wide range of results that promote the development of trustworthy, transparent and human-centred AI for autonomous mobility. As part of the Connected, Cooperative and Automated Mobility (CCAM) ecosystem, AIthena is helping to build European capacity for safer, more efficient and more inclusive transport systems.

Through four critical use cases, the project has demonstrated how explainable AI (XAI) can be integrated into real-world mobility scenarios. These use cases examine the relationship between data, models, and testing frameworks to guarantee that autonomous systems are technically robust, socially acceptable, and transparent to users.

Click on the items in the drop-down menu to read about the key outcomes of the AIthena project and view specific results.