4 citations · 8 across the 10 of their papers we have counts for
10 papers
Would a Large Language Model Pay Extra for a View? Inferring Willingness to Pay from Subjective Choices
Manon Reusens, Sofie Goethals, Toon Calders +1
As Large Language Models (LLMs) are increasingly deployed in applications such as travel assistance and purchasing support, they are often required to make subjective choices on be…
Prompt-Counterfactual Explanations for Generative AI System Behavior
Sofie Goethals, Foster Provost, João Sedoc
As generative AI systems become integrated into real-world applications, organizations increasingly need to be able to understand and interpret their behavior. In particular, decis…
On the Definition and Detection of Cherry-Picking in Counterfactual Explanations
James Hinns, Sofie Goethals, Stephan Van der Veeken +2
Counterfactual explanations are widely used to communicate how inputs must change for a model to alter its prediction. For a single instance, many valid counterfactuals can exist,…
Beware of "Explanations" of AI
David Martens, Galit Shmueli, Theodoros Evgeniou +14
Understanding the decisions made and actions taken by increasingly complex AI system remains a key challenge. This has led to an expanding field of research in explainable artifici…
Reranking individuals: The effect of fair classification within-groups
Sofie Goethals, Marco Favier, Toon Calders
Artificial Intelligence (AI) finds widespread application across various domains, but it sparks concerns about fairness in its deployment. The prevailing discourse in classificatio…
The Impact of Cloaking Digital Footprints on User Privacy and Personalization
Sofie Goethals, Sandra Matz, Foster Provost +2
Our online lives generate a wealth of behavioral records -'digital footprints'- which are stored and leveraged by technology platforms. This data can be used to create value for us…
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem
Sofie Goethals, David Martens, Theodoros Evgeniou
Artificial Intelligence (AI) systems are increasingly used in high-stakes domains of our life, increasing the need to explain these decisions and to make sure that they are aligned…
Unveiling the Potential of Counterfactuals Explanations in Employability
Raphael Mazzine Barbosa de Oliveira, Sofie Goethals, Dieter Brughmans +1
In eXplainable Artificial Intelligence (XAI), counterfactual explanations are known to give simple, short, and comprehensible justifications for complex model decisions. However, w…
Monetizing Explainable AI: A Double-edged Sword
Travis Greene, Sofie Goethals, David Martens +1
Algorithms used by organizations increasingly wield power in society as they decide the allocation of key resources and basic goods. In order to promote fairer, juster, and more tr…
The privacy issue of counterfactual explanations: explanation linkage attacks
Sofie Goethals, Kenneth Sörensen, David Martens
Black-box machine learning models are being used in more and more high-stakes domains, which creates a growing need for Explainable AI (XAI). Unfortunately, the use of XAI in machi…