by Justyna | Dec 5, 2024 | News
The AIthena project (AI-Based CCAM: Trustworthy, Explainable, and Accountable) is contributing to the creation of an Explainable AI (XAI) in Cooperative, Connected and Automated Mobility (CCAM) development and testing frameworks by exploring three main AI pillars:...
by Justyna | Dec 5, 2024 | News
In the latter half of this year, the AITHENA project finalised one of its first major outputs from Work Package 1, led by Rupprecht Consult, establishing the methodology for the development and validation activities of the AITHENA project. The core objective is to...
by Justyna | Nov 25, 2024 | News
Development of trustworthy and explainable AI algorithms in CCAM What AI algorithms are being developed in the AIthena project to advance autonomous vehicle technology and deployment? What are the challenges faced in developing these algorithms? Autonomous vehicles...
by Justyna | Nov 18, 2024 | News
Addressing Data Privacy in CCAM What kind of data do cars collect? How does AI use data in cars? What privacy measures are in place and what are the researchers in the AIthena project proposing? Today’s vehicles collect large amounts of data, such as vehicle...
by Justyna | Oct 29, 2024 | News
Standardisation of AI machine learning model cards in CCAM What is a machine learning model? How are AI algorithms standardised? And how does the AIthena project ensure accountability, trustworthiness, and ethical principles and standards in CCAM? Machine learning...
