Sofie Goethals

According to our database, Sofie Goethals authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cash or Comfort? How LLMs Value Your Inconvenience.

Mateusz Cedro, Timour Ichmoukhamedov, Sofie Goethals, Yifan He, James Hinns, David Martens

CoRR, June, 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, Claudia Perlich, Wouter Verbeke, Alona Zharova, Patrick Zschech, Foster J. Provost

CoRR, April, 2025

What If the Prompt Were Different? Counterfactual Explanations for the Characteristics of Generative Outputs.

Sofie Goethals, João Sedoc, Foster J. Provost

Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

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

Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

2024

PreCoF: counterfactual explanations for fairness.

Sofie Goethals, David Martens, Toon Calders

Mach. Learn., May, 2024

One world, one opinion? The superstar effect in LLM responses.

Sofie Goethals, Lauren Rhue

CoRR, 2024

Resource-constrained Fairness.

Sofie Goethals, Eoin Delaney, Brent D. Mittelstadt, Chris Russell

CoRR, 2024

Evaluating LLMs for Gender Disparities in Notable Persons.

Lauren Rhue, Sofie Goethals, Arun Sundararajan

CoRR, 2024

Beyond Accuracy-Fairness: Stop evaluating bias mitigation methods solely on between-group metrics.

Sofie Goethals, Toon Calders, David Martens

CoRR, 2024

2023

The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks.

Sofie Goethals, Kenneth Sörensen, David Martens

ACM Trans. Intell. Syst. Technol., October, 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

Unveiling the Potential of Counterfactuals Explanations in Employability.

Raphael Mazzine Barbosa de Oliveira, Sofie Goethals, Dieter Brughmans, David Martens

CoRR, 2023

Monetizing Explainable AI: A Double-edged Sword.

Travis Greene, Sofie Goethals, David Martens, Galit Shmueli

CoRR, 2023

Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem.

Sofie Goethals, David Martens, Theodoros Evgeniou

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Explainability Methods to Detect and Measure Discrimination in Machine Learning Models.

Sofie Goethals, David Martens, Toon Calders

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

Explainable image classification with evidence counterfactual.

Tom Vermeire, Dieter Brughmans, Sofie Goethals, Raphael Mazzine Barbossa de Oliveira, David Martens

Pattern Anal. Appl., 2022

The non-linear nature of the cost of comprehensibility.

Sofie Goethals, David Martens, Theodoros Evgeniou

J. Big Data, 2022