About

AIthena is a research and innovation project on Connected and Cooperative Automated Mobility (CCAM) solutions that aims to build trustworthy, explainable, and accountable CCAM technologies.

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, accountability, and ethics.

Project description

The AITHENA project proposes the definition of a common and harmonized methodology for AI-based CCAM solutions (perception, situational awareness, decision-making and traffic management) development and testing focusing on the trustworthy AI pillars (accuracy, explainability, accountability, privacy, ethics) to serve the diverse end user types: vehicle drivers, function developers, and certification/legal bodies. AITHENA will work and advance on three AI aspects: DATA, AI MODELs development and TESTING and Validation approaches.

Project objectives

To create explainable AI (XAI) in CCAM development and testing frameworks
by investigating three main pillars of AI: data, models and testing.

To investigate on AI ethics to design, develop, implement and operate trustworthy AI systems for CCAM applications.

To specify, design and develop a life-cycle management framework for ML algorithms and CCAM applications for enable automation of ML workflows to accelerate and trace model building, training and experiments.
To define a new methodology for the trustworthy AI features (privacy, explainability, accountability, ethics) and analyse trade-offs between them, proposing a set of Key Performance Indicators (KPI) for AI-based unit testing in CCAM validation.
To make available created data and tools through the European data sharing initiatives (OpenData and OpenTools) to foster research on trustworthy AI for CCAM.
AIthena | Harmonized Methodology