Listen to our first Podcast with Thomas HĂĽgle interviewing Simone Stumpf. She received a PhD in Computer Science in 2001 and a BSc in Computer Science with Cognitive Science in 1996, both from University College London. She joined City University London as Lecturer in 2009. Previously, she worked at Oregon State University (USA) and University College London as a post-doctoral researcher. Simone also has professional agency experience having worked as a User Experience Architect.
She has a long-standing research focus on user interactions with machine learning and personal information management systems and has authored over 60 publications in this area. Her current research projects include investigating sensor-based health self-care systems for people with dementia and Parkinson’s disease, personal health information management for people living with HIV, collecting data from blind users to personalise object recognition, and investigating fair AI. Her work has contributed to shaping the field of Explainable AI (XAI) through the Explanatory Debugging approach to interactive machine learning, providing design principles for crafting explanations. The prime aim of her work is to empower all users to use intelligent machines effectively
