[VDTRIESTE22] Introduction to Explainable AI - Flash Talk by Irene Ferfoglia

Explainability is a prerequisite for building trust and allowing AI systems to enter these high-stakes domains, which require maximum reliability and safety. Moreover, a model can help deepen the understanding of a topic, providing new observations which a human may not be able to detect. As a consequence, AI researchers have focused their attention on explainable AI (XAI), a set of tools and frameworks to help humans understand and interpret predictions made by Machine Learning models. 🎤 WHO IS IRENE FERFOGLIA She is actually a student at Trieste's University, where she is getting her master's degree in Data Science and Scientific Computing. 🦩Info about Voxxed Days Trieste: https://trieste.voxxeddays.com