James Hinns
Postdoctoral researcher in human-centred interpretability in the Augment group at KU Leuven.
I recently completed my PhD in Explainable AI with the Applied Data Mining group at the University of Antwerp.
My research focuses on human-centred interpretability, explanation evaluation, and machine learning systems that are more understandable, trustworthy, and aligned with human needs.
news
| September 2026 | Publicly defended my PhD thesis, Human-Centred Approaches for Generating and Evaluating Explainable AI Across Modalities, at the University of Antwerp, completing my PhD. |
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| July 2026 | Our paper, Aggregating Local Saliency Maps for Semi-Global Explainable Image Classification, was accepted for presentation at the XKDD and Beyond Workshop at ECML PKDD 2026. |
| June 2026 | Our article, On the Definition and Detection of Cherry-Picking in Counterfactual Explanations, was accepted through the ECML PKDD 2026 Journal Track. It will appear in Data Mining and Knowledge Discovery and be presented at ECML PKDD in September 2026. |
| February 2026 | Our article, Cash or Comfort? How LLMs Value Your Inconvenience, was accepted for publication in Communications of the ACM. |