Toward explainable, robust and fair AI in automated and autonomous vehicles

An Exploratory Workshop dedicated to automated and autonomous vehicles, which aims to bring together leading scientist and engineers to explore and discuss the state-of-the-art research on robustness, fairness interpretability and explainability of artificial intelligence (AI) and machine learning (ML) for safety and security in automated and autonomous vehicles (A&AV).

Topics

• Testing AI in automated vehicles 
• Robustness and cybersecurity of automated vehicles
• Explainable AI in the driving domain 
• Bias and fairness in automated vehicles 

The aim of the workshop is to gather multiple views and foster collaborations between experts to collect state-of-art research, to identify gap in validation of A&AVs, and to pave the way for new research directions.