AISB Workshop on Explainability and Transparency in AI (XTAI 2022)

AISB Workshop on Explainability and Transparency in AI (XTAI 2022) is going to take place in Swansea University, Bay Campus, Computational Foundry (and online) on
13 October 2022.

Web site:

AISB and the Department of Computer Science at Swansea University are holding a hybrid one-day workshop on explainability and transparency in AI. This workshop is free to attend for AISB members but requires registration.

Topics include:

  • Explainable AI
  • Argumentation Theory
  • AI Transparency
  • Responsible, Reliable, and Resilient Design of AI Systems

he workshop will have invited and contributed talks as well as discussion sessions aimed at exploring cutting-edge research and open problems in areas related to explainable AI and transparency of automated data-driven decision making.


10:00: Opening
10:05: Hsuan Fu – Explainability and Predictability of Machine Learning Methods in Finance Applications
10:35: Raghav Kovvuri – Investigating Global Open-Ended Funds diversification among G 11 countries through XAI
11:00: Break
11:30: Xiyui Fan – XAI with Probabilistic Structured Argumentation
12:00: Adam Wyner – Values in the Roots of Conflict in Argumentation
12:30: Lunch break

14:00: Arnold Beckmann – Hybrid AI approaches for Knowledge-Intense Manufacturing
14:30: Jay Morgan – Adaptive Neighbourhoods for the Discovery of Adversarial Examples

15:00: Coffee
15:30: Jamie Duell – Enhancing the Explainability of Electronic Health Record Predictions
16:00: Bertie Müller – PACE (Parametrised Automated Counterfactual Explanations) for Re3 (Reliable, Responsible & Resilient Design)
16:30: Panel Discussion


  • Monika Seisenberger (Swansea University)
  • Bertie Müller (AISB & Swansea University)

Email for any other queries.