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
Use Case 2 workshop in Vienna and #TAMainEvent
A hybrid AIthena Use Case 2 Demonstrator 2 “Robust Prediction modules for Robo-taxi in urban environment” Workshop took place at TTTech Auto, in Vienna and online on 13 September. Virtual Vehicle representatives were leading this workshop, aligning with project...
AIthena project at The Autonomous Main Event
AIthena consortium partners will attend The Autonomous Main Event which is held on 14 September 2023 in Vienna & online. The Autonomous Main Event will feature for example the current limits of automation from a safety perspective, as well as economic viability of...