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Research talk by Prof Simone Stumpf, University of Glasgow - "Why we can’t have nice things – the important role of Responsible AI"
Diversity and Cyber Security Expertise - new policy report from CIM academics
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AI innovation missing the mark for local communities, University of Warwick report warns
2025 FinGeo Doctoral Dissertation Prize Winner: Dr. Andra Sonea
LIVE PODCAST: Media and the Power of Knowledge w/ Prof. Steve Fuller
Webinar Series: Strengthening Gender, Equity and Rights in National Digital Health Strategies
Carla Washbourne to Chair UN-Habitat Global Urban Observatory Network (GUO-Net) Steering Committee
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Research talk by Prof Simone Stumpf, University of Glasgow - "Why we can’t have nice things – the important role of Responsible AI"
Join us for a research talk by Prof Simone StumpfLink opens in a new window from University of Glasgow with the title "Why we can’t have nice things – the important role of Responsible AI" on Tuesday, January 13th 2026, 4pm - 5:30pm at the Social Sciences Building, Room S0.13.
Title:
Why we can’t have nice things – the important role of Responsible AI
Abstract:
Many AI technologies are now being integrated into everyday life. However, how can we ensure that AI is ‘responsible’? In this talk, I will review current efforts at developing responsible AI, focusing on transparency, fairness and auditing, and offer suggestions at how we can improve approaches in this area.
Bio:
Simone Stumpf is Professor of Responsible and Interactive AI at the School of Computing Science at University of Glasgow. She has a long-standing research focus on user interactions with AI systems. Her research includes self-management systems for people living with long-term conditions, developing teachable AI systems for people who don’t have a technical background, and investigating Responsible AI development, including AI fairness. Her work has contributed to shaping the field of Explainable AI (XAI) through the Explanatory Debugging approach for interactive machine learning, providing design principles to enable better human-computer interaction and investigating the effects of greater transparency. The prime aim of her work is to empower all users to use AI effectively.
<br />https://www.gla.ac.uk/schools/computing/staff/simonestumpf/Link opens in a new window