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

Recently published papers supported by AIthena project

Recently published papers supported by AIthena project

In ''Library'' section you find, next to AIthena communication materials and public deliverables, recently published papers that have been developed with the support of AIthena project: ''An Evaluation of Time-triggered Scheduling in the Linux Kernel'' Authors:...

read more
Get to know AIthena consortium partners – IRU

Get to know AIthena consortium partners – IRU

This week we introduce next AIthena consortium partner: IRU Interviewee: Raluca Marian, IRU Director of EU Advocacy IRU is the world road transport organisation, helping connect societies with safe, efficient, and green mobility and logistics since 1948. As the voice...

read more