Simone Stumpf

Simone Stumpf is a Professor of Responsible and Interactive Artificial Intelligence at the University of Glasgow's School of Computing Science. Her work focuses on designing AI systems that empower users through explainability, fairness, and ethical considerations. She specializes in user-centered approaches to AI, particularly in healthcare and assistive technologies for marginalized groups such as people with disabilities or long-term conditions.

Her research explores interactive machine learning, XAI (Explainable AI), and co-design methodologies. Key areas include mitigating AI bias, enhancing user trust, and ensuring AI systems are accessible and inclusive. She has contributed to frameworks like Explanatory Debugging and promotes interdisciplinary collaboration in AI development.

Stumpf has published extensively on topics such as fair AI assessment, user involvement in AI fairness, and applications of AI in health monitoring. Her work emphasizes ethical AI principles and has influenced policy discussions on AI regulation. She leads projects addressing AI transparency and has collaborated globally with researchers, clinicians, and end-users to ensure practical, human-centric solutions.