Summary
Exactly as humans, artificially intelligent algorithms may generalize in unacceptable ways and unintentionally discriminate certain groups. This sparks a call for deeply embedding ethical rules in data mining algorithms to guarantee fair and unbiased decision procedures. For taxation too, the fairness principle is essential and a major challenge in digitalisation. The main research question here is therefore how to implement ethical considerations in artificial intelligence taxation systems.
Research projects
Fairness in Machine Learning (project 1)
- researcher: Marco Favier
- supervisor : prof. Toon Calders
- research is funded by AXA.
- read more on this topic on the website of Antwerp Tax Academy
Fairness in Machine Learning (project 2)
- researcher: Ewoenam Topko
- supervisor : prof. Toon Calders
- research is funded by the Flemish Government
- read more on this topic on the website of Antwerp Tax Academy
Fairness in Machine Learning (project 3)
- researcher: Daphne Lenders
- supervisor : prof. Toon Calders and prof. Sylvie De Raedt
- research is funded by the University of Antwerp
Publications and presentations
2021
Lenders Daphne en Calders Toon, Learning a fair distance function for situation testing, 21st Joint European Conference on Machine Learning and Principles and, Practice of Knowledge Discovery in Databases (ECML PKDD), SEP 13-17, 2021, Cham : Springer international publishing ag , 2021, 631-646
Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders, Bettina Berendt:, Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models. CoRR abs/2112.07447 (2021)
Pinxteren Sam, Calders Toon, Efficient permutation testing for significant sequential patterns, 2021 SIAM International Conference on Data Mining (SDM), 2021, p. 9-27
- Calders Toon, Ntoutsi Eirini, Pechenizkiy Mykola, Rosenhahn Bodo, Ruggieri Salvatore, Introduction to the special section on bias and fairness in AI, SIGKDD explorations 2021, p. 1-3
2020
- Van de Vijver, Anne, Calders, Toon, Fiscale algoritmen, profilering en het recht op privéleven, Tijdschrift voor Fiscaal Recht, 2020, 611-614 (comment on the Dutch SyRI case)