Explainable Artificial Intelligence

Clarity in Complexity: Advancing AI Explainability through Sensemaking

Elisa Gagnon, Bishops University
Anouk Deregt, University of Utrecht
Liette Lapointe, McGill University

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Introduction to the Minitrack on Explainable Artificial Intelligence (XAI)

Babak Abedin, Macquarie University
Yang Song, University of New South Wales
Maximilian Förster, University of Ulm
Christian Meske, Ruhr-Universität Bochum

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Quantifying Visual Properties of GAM Shape Plots: Impact on Perceived Cognitive Load and Interpretability

Sven Kruschel, University of Regensburg
Lasse Bohlen, Friedrich-Alexander-University Erlangen-Nuremberg
Julian Rosenberger, University of Regensburg
Patrick Zschech, Leipzig University
Mathias Kraus, University of Regensburg

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Unlocking Empowerment: An Empirical Study on the Impact of Explainable AI in Mental Health Apps

Sven Bottesch, University of Ulm
Yannik Terhorst, Ludwig Maximilian University of Munich
Maximilian Förster, University of Ulm

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