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Women in MICCAI (WiM) is happy to announce the second invited talk in the WiM “Health Equity in the AI Era” Webinar Series 2024. Building Trustworthiness through Robustness Trustworthiness is paramount in the development and deployment of AI systems. A critical aspect of achieving trustworthy AI lies in its robustness—the ability of a model to maintain performance under varying conditions. This talk will delve into the importance of robustness in ensuring trustworthy AI, with a particular focus on two key areas: distribution shifts and input data variations. Speaker: Maria A. Zuluaga is a senior lecturer at the Data Science department at EURECOM with an affiliate position within the School of Biomedical Engineering & Imaging Sciences at King’s College London (Visiting Senior Lecturer).