STAI CDT PhD students Elfia Bezou-Vrakatseli and Madeleine Waller are organisers and co-editors of the Online Handbook of Argumentation for AI (OHAAI) and have delivered a series of tutorials at leading conferences over the past academic year.
OHAAI is a collection of selected peer-reviewed papers summarising ongoing PhD research on Argumentation in AI, published annually as an online Open Access handbook. OHAAI serves as a research hub to track the latest PhD projects on the theory and application of argumentation.
The aim of the tutorials was to introduce the power and relevance of computational argumentation to AI-related fields. They were delivered at leading conferences and covered both foundational concepts and practical applications:
- European Conference on Artificial Intelligence (ECAI 2024): ‘Play and Persuade: An Interactive Exploration of Argumentation’, delivered by Elfia Bezou-Vrakatseli and Madeleine Waller
- Computing Conference 2025: ‘Computational argumentation for AI: foundations, methods, and applications’, delivered by Elfia Bezou-Vrakatseli and Andreas Xydis (co-editor of OHAAI and King’s alumnus).
- ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2025: ‘Computational Argumentation for Fair and Explainable AI Decision-making’, delivered by Elfia Bezou-Vrakatseli, Andreas Xydis, and Madeleine Waller
The tutorials demonstrated foundations and applications of computational argumentation and how structured reasoning tools can make AI systems more fair, transparent, explainable, and aligned with human values, directly linking to safe and trusted AI.
When asked about the impact, Elfia explained, “Delivering them across diverse venues was a truly fulfilling experience. The variety of audiences brought fresh perspectives, and the enthusiastic feedback confirmed both the importance and accessibility of this work. Beyond sharing knowledge, the tutorials also strengthened our skills in public speaking, communication, collaboration, and engaging with discourse on responsible AI”.
Find out more about OHAAI and previous volumes and tutorials: OHAAI