Who gets the better story? An exploration of fairness in explainable AI narratives for credit scoring

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Proceedings of Fifth European Conference on Algorithmic Fairness (ECAF), 2-4 September, 2026, Ghent, Belgium- () p. 107-112

Human-centred approaches for generating and evaluating explainable AI across modalities

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Antwerp, University of Antwerp, Faculty of Business and Economics, 2026,X, 125 p.

Beware of “explanations� of AI

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Business & information systems engineering - ISSN 2363-7005- (2026) p.
Auteur(s)
    David Martens, Galit Shmueli, Theodoros Evgeniou, Kevin Bauer, Christian Janiesch, Stefan Feuerriegel, Sebastian Gabel, Sofie Goethals, Travis Greene, Nadja Klein, Mathias Kraus, Niklas Kühl, Claudia Perlich, Wouter Verbeke, Alona Zharova, Patrick Zschech, Foster Provost

Foundation models for credit risk prediction : a game changer?

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arxiv- (2026) p.
Auteur(s)
    Bart Baesens, Andreas Goethals, Stefan Lessmann, Simon De Vos, Cristian Bavo, David Martens, Victor Medina-Olivares, Christophe Mues, Maria Oskarsdottir, Seppe vanden Brouke, Tony Van Gesel, Tim Verdonck, Wouter Verbeke