Explainable AI for systems with functional safety requirements

Explainable AI (XAI) is vital for making AI decision-making processes transparent and understandable to human experts, and for ensuring safety and regulatory compliance. Despite the value of XAI, there is currently a lack of systematic approaches to integration within AI-based systems and the Machine Learning lifecycle, especially in domains where safety is non-negotiable. This webinar seeks to address this gap by introducing the SAFEXPLAIN explainability by design approach.