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
The AIthena Knowledge Hub remains open. Explore project publications and deliverables.
Although the AIthena project has officially concluded, its results continue to support researchers, industry stakeholders, policymakers and the wider CCAM community. The AIthena Library brings together a rich collection of public deliverables, scientific...
AIthena at TRA 2026 in Budapest
On 19 May 2026 Silvia Barbaro, IRU’s Research and Innovation Project Manager, presented a paper titled Integrating Trustworthy AI into CCAM: Enabling Uptake at Vehicle, Mobility Ecosystem and Industry Levels. The paper was co-authored by Silvia Barbaro, Oihana Otaegui...
AIthena featured in AustriaTech’s Monitoring Report 2025 on Automated Mobility
The AIthena project has been included in the Automated Mobility in Austria – Monitoring Report 2025, Austria’s annual reference publication on developments in connected, cooperative and automated mobility (CCAM). Published by AustriaTech, the report provides a...