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 at the TRA Conference and EUCAD Symposium in Dublin
The AIthena project, represented by the AIthena Coordination Team from Vicomtech, will present a demo and the project’s video at the European Commission’s stand at the TRA exhibition. In addition, the AIthena’s project video will be shown at the EARPA (European...
EU AI Act: AIthena project welcomes European Parliament adoption of pioneering AI legislation
On March 13, the European Parliament approved the AI Act. Recent advancements in artificial intelligence offer unprecedented opportunities to enhance the road transport industry. The primary objective of implementing AI in this sector is to address challenges...
AIthena Use Cases
One of the goals of the AIthena project is to demonstrate the AIthena methodology in four critical use cases. So, let's take a closer look at these four use cases and why they were chosen. The software stack of an automated vehicle can be divided into the three...