The non-linear nature of the cost of comprehensibility. - Sofie Goethals; David Martens; Theodoros Evgeniou (J. Big Data, 2022)

Explainable image classification with evidence counterfactual. - Tom Vermeire; Dieter Brughmans; Sofie Goethals; Raphael Mazzine Barbossa de Oliveira; David Martens (Pattern Anal. Appl., 2022)

Explainability Methods to Detect and Measure Discrimination in Machine Learning Models. - Sofie Goethals; David Martens; Toon Calders (EWAF, 2023)

Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem. - Sofie Goethals; David Martens; Theodoros Evgeniou (PKDD/ECML Workshops (3), 2023)

Monetizing Explainable AI: A Double-edged Sword. - Travis Greene; Sofie Goethals; David Martens; Galit Shmueli (CoRR, 2023)

Unveiling the Potential of Counterfactuals Explanations in Employability. - Raphael Mazzine Barbosa de Oliveira; Sofie Goethals; Dieter Brughmans; David Martens (CoRR, 2023)

The Impact of Cloaking Digital Footprints on User Privacy and Personalization. - Sofie Goethals; Sandra C. Matz; Foster J. Provost; Yanou Ramon; David Martens (CoRR, 2023)

The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks. - Sofie Goethals; Kenneth Sörensen; David Martens (ACM Trans. Intell. Syst. Technol., 2023)

Beyond Accuracy-Fairness: Stop evaluating bias mitigation methods solely on between-group metrics. - Sofie Goethals; Toon Calders; David Martens (CoRR, 2024)

Evaluating LLMs for Gender Disparities in Notable Persons. - Lauren Rhue; Sofie Goethals; Arun Sundararajan (CoRR, 2024)

Resource-constrained Fairness. - Sofie Goethals; Eoin Delaney; Brent D. Mittelstadt 002; Chris Russell 001 (CoRR, 2024)

One world, one opinion? The superstar effect in LLM responses. - Sofie Goethals; Lauren Rhue (CoRR, 2024)

PreCoF: counterfactual explanations for fairness. - Sofie Goethals; David Martens; Toon Calders (Mach. Learn., 2024)

Words reveal wants: How well can simple LLM-based AI agents replicate people's choices based on their social media posts. - Sofie Goethals; Johannes Luther; Sandra C. Matz (UMAP (Adjunct Publication), 2025)

What If the Prompt Were Different? Counterfactual Explanations for the Characteristics of Generative Outputs. - Sofie Goethals; João Sedoc; Foster J. Provost (UMAP (Adjunct Publication), 2025)

Beware of "Explanations" of AI. - David Martens; Galit Shmueli; Theodoros Evgeniou; Kevin Bauer; Christian Janiesch; Stefan Feuerriegel; Sebastian Gabel; Sofie Goethals; Travis Greene; Nadja Klein; Mathias Kraus; Niklas Kühl 001; et al. (CoRR, 2025)

Cash or Comfort? How LLMs Value Your Inconvenience. - Mateusz Cedro; Timour Ichmoukhamedov; Sofie Goethals; Yifan He; James Hinns; David Martens (CoRR, 2025)