Prof Simone Stumpf she/her

I have a long-standing research focus on user interactions with AI systems. My current research includes self-management systems for people living with long-term conditions and developing teachable object recognisers for people who are blind or low vision.

My work has contributed to shaping the field of Explainable AI (XAI) through the Explanatory Debugging approach for interactive machine learning, providing design principles for enabling better human-computer interaction and investigating the effects of greater transparency. I also lead work in fairness, seeking to involve end-users as much as possible in assessing and mitigating bias and fairness issues. Finally I am also intersted in how end-users can test and evaluate AI systems that they have built, even without technical expertise. I am interested in tacking these avenues forward into Generative and Agentic AI.

The prime aim of my work is to empower all users to employ AI systems effectively.