Outreach

Presentations & Talks
2025

UMAP — User Modeling, Adaptation and Personalisation  NYC, USA

Accepted presentation · Words reveal wants: How well can simple LLM-based AI agents replicate people's choices based on their social media posts

EXUM @ UMAP — Explainable User Models and Personalized Systems  NYC, USA

Accepted presentation · What If the Prompt Were Different? Counterfactual Explanations for the Characteristics of Generative Outputs

C3NLP @ NAACL — 3rd Workshop on Cross-Cultural Considerations in NLP  Albuquerque, USA

Panel discussion (Selected Papers Authors Panel)

C3NLP @ NAACL — 3rd Workshop on Cross-Cultural Considerations in NLP  Albuquerque, USA

Accepted presentation · One world, one opinion? The superstar effect in LLM responses

SPSP — Society for Personality and Social Psychology Annual Convention  Denver, USA

Poster session · The trade-offs of obscuring your digital footprints

2024

EURO OSS — Operational Research and Machine Learning  Online

Invited talk · K-anonymous counterfactual explanations

EWAF — European Workshop on Algorithmic Fairness  Mainz, Germany

Poster session · Reranking individuals

DigiTax Conference  Antwerp, Belgium

Panel discussion · Introduction to Explainable AI

PhD Seminar — Oxford Internet Institute  Oxford, United Kingdom

Invited talk · Responsible AI: How can Explainable AI help address ethical issues?

2023

Flanders AI Research Day  Mechelen, Belgium

Invited talk · Explainability methods to measure discrimination in machine learning models

BIAS @ ECML — Third Workshop on Bias and Fairness in AI  Turin, Italy

Accepted presentation · Explainability methods to measure discrimination in machine learning models

XKDD @ ECML — International Workshop on Explainable Knowledge Discovery  Turin, Italy

Accepted presentation · Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem

ECDA — European Conference on Data Analysis  Antwerp, Belgium

Accepted presentation · The trade-offs of obscuring your digital footprints

EWAF — European Workshop on Algorithmic Fairness  Winterthur, Switzerland

Accepted presentation · Explainability methods to measure discrimination in machine learning models

ORBEL — 36th Annual Conference of the Belgian Operational Research Society  Liège, Belgium

Accepted presentation · The trade-offs of obscuring your digital footprints

2022

Doctoral Day — University of Antwerp  Antwerp, Belgium

Accepted presentation · How counterfactual explanations can be used to detect bias in a machine learning model

EURO — 32nd European Conference on Operational Research  Espoo, Finland

Accepted presentation · How counterfactual explanations can be used to detect bias in a machine learning model


Press & Blog Posts

The Conversation  2024

Opening the black box: how 'Explainable AI' can help us understand how algorithms work

Belgisch Financiaal Forum  2024

Responsible AI in Finance

Harvard Business Review  2023

AI can be both accurate and transparent (featured research)