Sofie Goethals

25 papers Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fairness principles across contexts: evaluating gender disparities of facts and opinions in large language models.
AI Ethics
Sofie Goethals, Lauren Rhue, Arun Sundararajan
2026 J jnl
On the Definition and Detection of Cherry-Picking in Counterfactual Explanations.
CoRR
James Hinns, Sofie Goethals, Stephan Van der Veeken, Theodoros Evgeniou, David Martens
2026 J jnl
Prompt-Counterfactual Explanations for Generative AI System Behavior.
CoRR
Sofie Goethals, Foster J. Provost, João Sedoc
2026 J jnl
Would a Large Language Model Pay Extra for a View? Inferring Willingness to Pay from Subjective Choices.
CoRR
Manon Reusens, Sofie Goethals, Toon Calders, David Martens
2025 J jnl
Beware of "Explanations" of AI.
CoRR
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 J. Provost
2025 J jnl
Cash or Comfort? How LLMs Value Your Inconvenience.
CoRR
Mateusz Cedro, Timour Ichmoukhamedov, Sofie Goethals, Yifan He, James Hinns, David Martens
2025 J jnl
Monetization could corrupt algorithmic explanations.
AI Soc.
Travis Greene, Sofie Goethals, David Martens, Galit Shmueli
2025 J jnl
The Basic B*** Effect: The Use of LLM-based Agents Reduces the Distinctiveness and Diversity of People's Choices.
CoRR
Sandra C. Matz, C. Blaine Horton, Sofie Goethals
2025 — conf
What If the Prompt Were Different? Counterfactual Explanations for the Characteristics of Generative Outputs.
UMAP (Adjunct Publication)
Sofie Goethals, João Sedoc, Foster J. Provost
2025 — conf
Words reveal wants: How well can simple LLM-based AI agents replicate people's choices based on their social media posts.
UMAP (Adjunct Publication)
Sofie Goethals, Johannes Luther, Sandra C. Matz
2024 J jnl
Beyond Accuracy-Fairness: Stop evaluating bias mitigation methods solely on between-group metrics.
CoRR
Sofie Goethals, Toon Calders, David Martens
2024 J jnl
Evaluating LLMs for Gender Disparities in Notable Persons.
CoRR
Lauren Rhue, Sofie Goethals, Arun Sundararajan
2024 J jnl
One world, one opinion? The superstar effect in LLM responses.
CoRR
Sofie Goethals, Lauren Rhue
2024 J jnl
PreCoF: counterfactual explanations for fairness.
Mach. Learn.
Sofie Goethals, David Martens, Toon Calders
2024 J jnl
Resource-constrained Fairness.
CoRR
Sofie Goethals, Eoin Delaney, Brent D. Mittelstadt, Chris Russell
2023 — conf
Explainability Methods to Detect and Measure Discrimination in Machine Learning Models.
EWAF
Sofie Goethals, David Martens, Toon Calders
2023 — conf
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem.
PKDD/ECML Workshops (3)
Sofie Goethals, David Martens, Theodoros Evgeniou
2023 J jnl
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem.
CoRR
Sofie Goethals, David Martens, Theodoros Evgeniou
2023 J jnl
Monetizing Explainable AI: A Double-edged Sword.
CoRR
Travis Greene, Sofie Goethals, David Martens, Galit Shmueli
2023 J jnl
The Impact of Cloaking Digital Footprints on User Privacy and Personalization.
CoRR
Sofie Goethals, Sandra C. Matz, Foster J. Provost, Yanou Ramon, David Martens
2023 J jnl
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks.
ACM Trans. Intell. Syst. Technol.
Sofie Goethals, Kenneth Sörensen, David Martens
2023 J jnl
Unveiling the Potential of Counterfactuals Explanations in Employability.
CoRR
Raphael Mazzine Barbosa de Oliveira, Sofie Goethals, Dieter Brughmans, David Martens
2022 J jnl
Explainable image classification with evidence counterfactual.
Pattern Anal. Appl.
Tom Vermeire, Dieter Brughmans, Sofie Goethals, Raphael Mazzine Barbossa de Oliveira, David Martens
2022 J jnl
The non-linear nature of the cost of comprehensibility.
J. Big Data
Sofie Goethals, David Martens, Theodoros Evgeniou
2022 J jnl
The privacy issue of counterfactual explanations: explanation linkage attacks.
CoRR
Sofie Goethals, Kenneth Sörensen, David Martens