Building trustworthy, explainable,
and accountable CCAM technologies
Connected and Cooperative Automated Mobility (CCAM) solutions are increasingly present in vehicle technologies, which benefit from artificial intelligence (AI) through AI-based perception, situational awareness, and decision-making components.
But AI can be unfair, biased, and can be extremely sensitive to unexpected inputs. Building explainable and trustworthy AI is the next mandatory step of technology development, incorporating among other equally important properties: robustness, privacy, explainability,
News
AIthena Final Event-Summary Report
On 2 October 2025, the AIthena Project showcased its three-year journey with a Final Event in Brussels, marking the culmination of its work in advancing Connected, Cooperative, and Automated Mobility (CCAM) through Artificial Intelligence (AI). Hosted at Comet Louise,...
Synthetic data – how to use it, what are the benefits and drawbacks?
According to (Andrews, 2022) synthetic data is information that’s artificially generated rather than produced by real-world events. Typically created using algorithms, synthetic data can be deployed to validate mathematical models and to train machine learning models....
AIthena Project Final Event
The AIthena project will conclude with a final event in Brussels on 2 October 2025. This event will celebrate the end of an exciting AI and technology journey for Connected, Cooperative and Automated Mobility (CCAM), showcasing the project's accomplishments and the...