Thank you for tuning in to the SPATIAL podcast, where we explore the cutting-edge advancements and crucial discussions surrounding Artificial Intelligence.
Today’s episode, presented by Blanca Arregui from AUSTRALO, is particularly special as we delve into the critical topic of the accountability of AI-based systems, aligning with the SPATIAL project‘s mission to prioritize trustworthy AI in Europe. Our esteemed guests today bring a wealth of knowledge and expertise to the table. First up is Prachi Bagave, a PhD candidate specializing in Accountable AI for Healthcare Systems at TU Delft, one of the world’s leading engineering universities. Joining us from Fraunhofer FOKUS in Berlin, Germany, are Helene Knof and Michell Boerger. Both are actively engaged in applied research related to machine learning, with a specific focus on accountability and security. Fraunhofer FOKUS, being a renowned research institute, plays a pivotal role in advancing the field of AI, ensuring its responsible and secure integration into various domains. Throughout this episode, we’ll gain insights and examples from these experts on the challenges and opportunities in ensuring accountability within AI systems.
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If you want to dive deep into this topic, please check this pre-published paper written by the interviewed guests:
Exploring CNN and XAI-based Approaches for Accountable MI Detection in the Context of IoT-enabled Emergency Communication Systems.
Exploring CNN and XAI-based Approaches for Accountable MI Detection in the Context of IoT-enabled Emergency Communication Systems
Listen to the podcast here!