About
David Martens is a Professor of Data Science at the University of Antwerp, where he directs the Applied Data Mining Research Group within the Faculty of Business and Economics. He also serves as Chair of the Department of Engineering Management and Director of the Antwerp Center on Responsible AI. His academic work spans data mining, interpretable machine learning, and the societal impact of AI.
- PhD in Applied Economic Sciences (KU Leuven, 2008)
- Director, Antwerp Center on Responsible AI
- Chair, Department of Engineering Management
Martens' research focuses on responsible AI and data ethics, with applications in finance, public policy, and behavioral analysis. His recent publications emphasize counterfactual explanations, LLM interpretability, and privacy implications in AI systems.
His articles reveal trends in Explainable AI (XAI), including narrative-driven explanations, graph neural networks, and ethical challenges like monetization risks and algorithmic bias. Keywords span Computer Science, Artificial Intelligence, and Behavioral Data.
Martens is a leading voice in data science ethics, authoring the book Data Science Ethics: Concepts, Techniques, and Cautionary Tales (Oxford University Press, 2022). He combines academic rigor with industry experience, having consulted for banks, telecom firms, and startups in fraud detection and digital advertising.
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