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 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...
Strengthening impact and alignment: Insights from the AIthena report on dissemination and standardisation activities
The latest public deliverable D6.5 from the AIthena project, 'Report on Dissemination and Standardisation Activities', provides a comprehensive overview of how the project has shared its results and engaged with key European and international stakeholders throughout...
AIthena project report on data sharing and integration with European data tools
The latest AIthena publication: 'D6.2 Report on Data Sharing and Integration with European Data Lakes, OpenData and OpenTool' outlines the project’s strategy for enabling transparent, interoperable and FAIR-aligned data sharing to support the development of...