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Authors: Ivona Colakovic and Sašo Karakatič

Affiliation: Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, Maribor, Slovenia

Keyword(s): Fairness, Classification, Boosting, Machine Learning.

Abstract: This paper deals with the group fairness issue that arises when classifying data, which contains socially induced biases for age and ethnicity. To tackle the unfair focus on certain age and ethnicity groups, we propose an adaptive boosting method that balances the fair treatment of all groups. The proposed approach builds upon the AdaBoost method but supplements it with the factor of fairness between the sensitive groups. The results show that the proposed method focuses more on the age and ethnicity groups, given less focus with traditional classification techniques. Thus the resulting classification model is more balanced, treating all of the sensitive groups more equally without sacrificing the overall quality of the classification.

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Paper citation in several formats:
Colakovic, I. and Karakatič, S. (2022). Improved Boosted Classification to Mitigate the Ethnicity and Age Group Unfairness. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-583-8; ISSN 2184-285X, SciTePress, pages 432-437. DOI: 10.5220/0011287400003269

@conference{data22,
author={Ivona Colakovic and Sašo Karakatič},
title={Improved Boosted Classification to Mitigate the Ethnicity and Age Group Unfairness},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA},
year={2022},
pages={432-437},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011287400003269},
isbn={978-989-758-583-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA
TI - Improved Boosted Classification to Mitigate the Ethnicity and Age Group Unfairness
SN - 978-989-758-583-8
IS - 2184-285X
AU - Colakovic, I.
AU - Karakatič, S.
PY - 2022
SP - 432
EP - 437
DO - 10.5220/0011287400003269
PB - SciTePress

- Science and Technology Publications, Lda.
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