Multi-Attribute, Multimodal Bias Mitigation in AI Systems

Información del proyecto

MAMMOth

Identificador del acuerdo de subvención: 101070285

DOI

10.3030/101070285

Fecha de la firma de la CE 20 Junio 2022

Fecha de inicio 1 Noviembre 2022

Fecha de finalización 31 Octubre 2025

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 3 304 975,00

Aportación de la UE

€ 3 304 975,00

Coordinado por

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Greece

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Data Management Plan (1)

Data Management Plan

First version of the Data Management Plan. It will be maintained and updated internally throughout the project.

Documents, reports (1)

User Requirements and Architecture

This report will document the activities, methodology and outcomes of the co-creation and analysis of system/user requirements and will outline the overall architecture of the MAMMoth bias toolkit. UNIBO will be in charge of the user requirements analysis, EXUS will lead the toolkit architecture design, and CERTH will coordinate the overall process and writing of the deliverable.

Publicaciones

Conference proceedings (17)

hyperFA*IR: A hypergeometric approach to fair rankings with finite candidate pool

Autores: Mauritz N. Cartier van Dissel, Samuel Martin-Gutierrez, Lisette Espín-Noboa, Ana María Jaramillo, Fariba Karimi
Publicado en: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025
Editor: ACM
DOI: 10.1145/3715275.3732143

Badd: Bias mitigation through bias addition

Autores: Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
Publicado en: 2025
Editor: IEEE/CVF

Studying bias in visual features through the lens of optimal transport.

Autores: Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, and Eirini Ntoutsi
Publicado en: Studying bias in visual features through the lens of optimal transport., 2023
Editor: Data Mining and Knowledge Discovery
DOI: 10.1007/s10618-023-00972-2

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning

Autores: Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi
Publicado en: 2024 International Joint Conference on Neural Networks (IJCNN), 2024
Editor: IEEE
DOI: 10.1109/IJCNN60899.2024.10651221

Face-swapping based Data Augmentation for ID Document and Selfie Face Verification

Autores: Elmokhtar Mohamed Moussa, Ioannis Sarridis, Emmanouil Krasanakis, Nathan Ramoly, Symeon Papadopoulos, Ahmad Montaser Awal, Lara Younes
Publicado en: Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, Edición pp. 1421-1428, 2025
Editor: CVF

Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering

Autores: Ghodsi, S., Amjad Seyedi, S., and Ntoutsi, E
Publicado en: Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering, 2024, ISBN 978-981-97-2242-6
Editor: Springer, Singapore
DOI: 10.1007/978-981-97-2242-6_23

"""Multi-dimensional discrimination in Law and Machine Learning - A comparative overview"""

Autores: Arjun Roy, Jan Horstmann, Eirini Ntoutsi
Publicado en: """Multi-dimensional discrimination in Law and Machine Learning - A comparative overview""", 2023, ISBN 9798400701924
Editor: ACM FAccT
DOI: 10.1145/3593013.3593979

Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb

Autores: """Swati, Swati, Arjun Roy, Eirini Ntoutsi """
Publicado en: 2024
Editor: EWAF 2024
DOI: 10.48550/ARXIV.2407.16892

Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview

Autores: Arjun Roy, Jan Horstmann, Eirini Ntoutsi
Publicado en: 2023 ACM Conference on Fairness, Accountability, and Transparency, 2025
Editor: ACM
DOI: 10.1145/3593013.3593979

Adversarial Robustness of VAEs across Intersectional Subgroups

Autores: Ramanaik, Chethan Krishnamurthy and Roy, Arjun and Ntoutsi, Eirini
Publicado en: 2024
Editor: Accepted in the BIAS workshop, co-located with ECML PKDD 2024
DOI: 10.48550/ARXIV.2407.03864

FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations

Autores: Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
Publicado en: Proceedings of the 2024 International Conference on Multimedia Retrieval, 2025
Editor: ACM
DOI: 10.1145/3652583.3658007

Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study

Autores: Panagiotou, Emmanouil and Roy, Arjun and Ntoutsi, Eirini
Publicado en: 2024
Editor: Accepted in the BIAS workshop, co-located with ECML PKDD 2024
DOI: 10.48550/ARXIV.2409.05215

Achieving Socio-Economic Parity through the Lens of EU AI Act

Autores: Arjun Roy, Stavroula Rizou, Symeon Papadopoulos, Eirini Ntoutsi
Publicado en: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025, ISBN 9798400714825
Editor: ACM
DOI: 10.1145/3715275.3732125

Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning

Autores: Emmanouil Panagiotou, Eirini Ntoutsi
Publicado en: 2025
Editor: Springer, Cham
DOI: 10.1007/978-3-031-74630-7_24

SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes

Autores: Georgia Baltsou, Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos
Publicado en: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), 2024
Editor: IEEE
DOI: 10.1109/FG59268.2024.10581864

Towards Standardizing AI Bias Exploration

Autores: Emmanouil Krasanakis, Symeon Papadopoulos
Publicado en: Workshop on AI bias: Measurements, Mitigation, Explanation Strategies (AIMMES 2024), 2024, ISSN 2331-8422
Editor: Workshop on AI bias: Measurements, Mitigation, Explanation Strategies (AIMMES 2024)
DOI: 10.48550/arXiv.2405.19022

TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE

Autores: Emmanouil Panagiotou, Manuel Heurich, Tim Landgraf, Eirini Ntoutsi
Publicado en: Proceedings of the 5th ACM International Conference on AI in Finance, 2024
Editor: ACM
DOI: 10.1145/3677052.3698673

Peer reviewed articles (13)

Training in Co-Creation as a Methodological Approach to Improve AI Fairness

Autores: Ian Slesinger, Evren Yalaz, Stavroula Rizou, Marta Gibin, Emmanouil Krasanakis, Symeon Papadopoulos
Publicado en: Societies, Edición 14, 2024, ISSN 2075-4698
Editor: MDPI AG
DOI: 10.3390/SOC14120259

Universal Local Attractors on Graphs

Autores: Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris
Publicado en: Applied Sciences, Edición 14, 2024, ISSN 2076-3417
Editor: MDPI AG
DOI: 10.3390/APP14114533

FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems

Autores: Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Ivan DeAndres-Tame, Aythami Morales, Julian Fierrez, Javier Ortega-Garcia, Weisong Zhao, Xiangyu Zhu, Zheyu Yan, Xiao-Yu Zhang, Jinlin Wu, Zhen Lei, Suvidha
Publicado en: FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems, 2024, ISSN 1566-2535
Editor: Elsevier
DOI: 10.1016/j.inffus.2024.102322

Assortative and preferential attachment lead to core-periphery networks

Autores: Ureña-Carrion, J., Karimi, F., Iñiguez, G., & Kivelä, M. (2023)
Publicado en: Assortative and preferential attachment lead to core-periphery networks, 2023, ISSN 2643-1564
Editor: PHYSICAL REVIEW RESEARCH
DOI: 10.1103/PhysRevResearch.5.043287

Towards Fair Face Verification: An In-depth Analysis of Demographic Biases

Autores: Ioannis Sarridis; Christos Koutlis; Symeon Papadopoulos; Christos Diou
Publicado en: Proceedings of BIAS 2023 Workshop, ECML/PKDD, 2023, ISSN 2331-8422
Editor: Proceedings of BIAS 2023 Workshop, ECML/PKDD
DOI: 10.48550/arxiv.2307.10011

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations

Autores: Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos, Christos Diou
Publicado en: IEEE Transactions on Pattern Analysis and Machine Intelligence, Edición 47, 2024, ISSN 0162-8828
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TPAMI.2024.3487254

On the inadequacy of nominal assortativity for assessing homophily in networks.

Autores: Karimi, F., Oliveira, M.
Publicado en: On the inadequacy of nominal assortativity for assessing homophily in networks., 2023, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/s41598-023-48113-5

Can we Disrupt the Momentum of the AI Colonization of Science Education?

Autores: Lucy Avraamidou
Publicado en: Can we Disrupt the Momentum of the AI Colonization of Science Education?, 2024, ISSN 1098-2736
Editor: Journal of Research in Science Teaching
DOI: 10.1002/tea.21961

Assortative and preferential attachment lead to core-periphery networks

Autores: Javier Ureña-Carrión, Fariba Karimi, Gerardo Íñiguez, Mikko Kivelä
Publicado en: Physical Review Research, Edición 5, 2023, ISSN 2643-1564
Editor: American Physical Society (APS)
DOI: 10.1103/PHYSREVRESEARCH.5.043287

The Use of AI in school science: a Systematic Literature Review

Autores: Dagmar Mercedes Heeg, Lucy Avraamidou
Publicado en: The Use of AI in school science: a Systematic Literature Review, 2023, ISSN 1469-5790
Editor: Taylor & Francis Group
DOI: 10.1080/09523987.2023.2264990

On the inadequacy of nominal assortativity for assessing homophily in networks

Autores: Fariba Karimi, Marcos Oliveira
Publicado en: Scientific Reports, Edición 13, 2024, ISSN 2045-2322
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41598-023-48113-5

Young children’s understanding of AI

Autores: Dagmar Mercedes Heeg, Lucy Avraamidou
Publicado en: Education and Information Technologies, 2024, ISSN 1573-7608
Editor: Springer Nature
DOI: 10.1007/S10639-024-13169-X

Improving the visibility of minorities through network growth interventions

Autores: Leonie Neuhäuser, Fariba Karimi, Jan Bachmann, Markus Strohmaier, Michael T Schaub
Publicado en: Improving the visibility of minorities through network growth interventions, 2023, ISSN 2399-3650
Editor: Communications Physics
DOI: 10.1038/s42005-023-01218-9

Book chapters (1)

Sampling Strategies for Mitigating Bias in Face Synthesis Methods

Autores: Emmanouil Maragkoudakis, Symeon Papadopoulos, Iraklis Varlamis, Christos Diou
Publicado en: Communications in Computer and Information Science, Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-74630-7_16