Professor Simone Stumpf is a Professor of Responsible and Interactive Artificial Intelligence in the School of Computing Science at the University of Glasgow. Her research focuses on user interactions with machine learning systems, with particular emphasis on explainable artificial intelligence, interactive machine learning, and the ethical design of AI systems to ensure they are free from bias, unfairness, or inaccuracies. Current projects include the development of self-management systems for individuals living with long-term conditions, teachable object recognisers for people who are blind or have low vision, and investigations into AI fairness. Her contributions have helped shape the field of explainable AI through the Explanatory Debugging approach for interactive machine learning, which provides design principles to support better human-computer interaction and greater system transparency.
Professor Stumpf is interested in the design of user interfaces that enable end-users to interact more successfully with AI systems, fostering appropriate trust and understanding. She applies AI to user-generated and personal data, especially in health and well-being contexts, and has worked with people living with dementia, Parkinson’s disease, and visual impairments. Her approach champions co-design and an intersectional perspective, with a focus on solutions that are usable and useful to people with physical and cognitive impairments as well as individuals of all genders. She is affiliated with the Glasgow Interactive Systems (GIST) research group.