Participants

The following individuals have confirmed their participation in the workshop. Please click on the links to read their initial position papers, which will be uploaded as they become available.

• Mark Bell, The National Archives (organiser) – How will Historians Explain AI?
• Maura Bellio, University College London – Explainable AI in Healthcare: Why, what and how technical potential could empower clinicians’ capability (co-authored with Neil Oxtoby, Daniel Alexander and Ann Blandford).
• Ann Borda, University of Melbourne – Perspectives on Digital Literacy and HeXAI
• Jenny Bunn, University College London (organiser) – An Archivist’s Perspective on Explainable AI
• Emre Kazim, University College London – Digital Ethics and AI (co-authored with Adriano Koshiyama and Zeynep Engin)
• Daniele Magazzeni, King’s College London – Explainable Security (co-authored with Luca Vigano)
• Jo Pugh, The National Archives (organiser)
• Yvonne Rogers, University College London (organiser)
• Aidan Slingsby, City, University of London – Information Visualisation for Explainable AI
• Leontien Talboom, University College London – Explainable AI in the Humanities
• David Tuckey, Imperial College London – A More Rigorous Approach to XAI (co-authored with Alessandra Russo and Krysia Broda)
• Cagatay Turkay, City, University of London – Reflections on Interactive Multimodal Approaches to Making Algorithms Explainable for Diverse User Groups.
• Luca Vigano, King’s College London – Explainable Security (co-authored with Daniele Magazzeni)
• Raghad Zenki, University of Northamption – The Definition of Machine Learning Interpretability and its Impact on Smart Campus Projects