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Presenter: Hazem Torfah Abstract: The deployment of autonomous systems in complex environments has increased significantly in recent years, with many relying on machine learning (ML) components for critical decision-making tasks. However, ML models are inherently brittle and prone to failures that can compromise system safety. This highlights the need for a systematic methodology to identify… Read More »TECoSA Seminar – Runtime Assurance in AI-Based Autonomy: Between Learning and Monitoring