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 in the CCAM Project’s Spotlight
Trustworthy AI for automated mobility: The AITHENA Project. Why is trustworthy AI essential? Artificial intelligence (AI) is transforming connected, cooperative and automated mobility (CCAM), promising safer and more efficient transport systems. However, its...
Driving Impact: AIthena’s Roadmap for AI Business Opportunities in CCAM
The AIthena project is making significant strides in shaping the future of Connected, Cooperative, and Automated Mobility (CCAM) through its latest public version of deliverable D6.4: Business and exploitation plan and impact. The public version of D6.4 document:...
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,...