Explaining Explainability: An Interdisciplinary Approach to Communicate Machine Learning Outcomes

Explore an interdisciplinary approach to communicating machine learning outcomes in this 37-minute talk from the Data Science Festival. Delve into the concept of Explainable AI (XAI) and learn how to extend technical interpretations of AI decision-making through a socio-technical lens. Gain insights from an industry-academia collaboration between Allianz Personal data science team and the University of Bristol. Discover the benefits of multidisciplinary approaches in enhancing AI explainability. Suitable for those with introductory-level technical knowledge, this session from the Data Science Festival MayDay event 2024 offers valuable perspectives on bridging the gap between technical explanations and broader understanding of machine learning outcomes.