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 2nd Practitioners Online Workshop

AIthena 2nd Practitioners Online Workshop

We are pleased to announce that the AIthena 2nd Practitioners Online Workshop will take place on Wednesday 26 February 2025 from 10:00 to 11:45 Brussels time. This online workshop is a great opportunity to interact with AIthena partners and learn about the latest...

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How AITHENA advances anonymisation for CCAM applications?

How AITHENA advances anonymisation for CCAM applications?

Advancing Data Anonymization for CCAM Applications: Striking a Balance Between Privacy and Usability Introduction As Cooperative, Connected, and Automated Mobility (CCAM) technologies evolve, handling sensitive data securely while maintaining its usability for AI...

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AIthena attends the #RTR2025 conference in Brussels

AIthena attends the #RTR2025 conference in Brussels

The RTR Conference 2025 (#RTR2025 - Conference on Results from Road Transport Research) will take place from 11 to 13 February at The EGG in Brussels, Belgium. This annual event is an important platform to showcase the achievements of EU-funded road transport projects...

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