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,

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AITHENA: DATA – Life cycle management and generation

AITHENA: DATA – Life cycle management and generation

In the context of the AITHENA project, when it comes to making AI more trustworthy and human-centric, data management and privacy are at the heart of the issue. In Work Package 2 of we have 3 different tasks that deal with the whole data lifecycle management and data...

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AITHENA Use Case 4: AI based Traffic management

AITHENA Use Case 4: AI based Traffic management

Automated vehicles (AVs) currently behave differently from human-driven vehicles. This different behaviour has an impact on traffic dynamics. To understand the extent of this impact, it is necessary to study the behaviour of AVs at the traffic level. In order to...

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