Overview

MAMMOth Project Concludes with UniBw Advancing Multidimensional Bias Mitigation in AI

The Horizon Europe-funded project MAMMOth (Multi-Attribute, Multimodal Bias Mitigation in AI Systems) officially concluded on 31 October 2025 after three years of pioneering work to make Artificial Intelligence fairer, more inclusive, and more accountable. The project brought together academic, industrial, and societal partners to address bias in AI systems and to deliver practical tools and knowledge for fairness-aware AI development. Its outcomes provide policymakers, technology developers, and society with concrete strategies for embedding fairness at the centre of AI innovation.

MMM-Fair presented in the Demo Track at CIKM 2025

“MMM-Fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Tradeoffs” was presented in the Demo Track at CIKM 2025, held in Seoul, Republic of Korea.

Kick-off Workshop of the DZdA Project – German Center for Digital Tasks in Higher Education Teaching

The kick-off workshop of the project German Center for Digital Tasks in Higher Education Teaching (DZdA) took place as a two-day intensive event with all nine project partners from universities across Germany. The host was OTH Amberg-Weiden, which, together with the strategic consulting firm pictomind GmbH, facilitated the event. The goal of the workshop was to establish a shared understanding of the project, define strategic objectives, and lay the foundation for successful collaboration.

The Multifaced Nature of Bias in AI: Impact on Model Generalization, Robustness, and Fairness

At last week’s EU AI Fairness Cluster meeting in Brussels, Eirini presented insights on the different forms of bias in AI in a talk titled "The Multifaced Nature of Bias in AI: Impact on Model Generalization, Robustness, and Fairness".

EU AI Fairness Cluster Brussels

Eirini participated in the final event of the EU AI Fairness Cluster in Brussels. It was a great opportunity to explore different aspects of fairness in AI.

Keynote on Bias and Fairness in AI: Current and Future Trends

Eirini had the pleasure to give a keynote on "Bias and Fairness in AI: Current and Future Trends" at the CISUC - Centre for Informatics and Systems of the University of Coimbra.

Paper accepted: IEEE ICDM 2025

Our paper "TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees" was accepted at IEEE ICDM 2025. Congratulations to Manolis and all people involved!

Machines like us?

Eirini participated in the INDOR Ringvorlesung “Maschinen wie wir? Wie KI Bildung, Wirtschaft und Gesellschaft herausfordert” during WT24. She contributed a short talk on AI bias (the useful, the bad, and the harmful) which also formed the basis for a chapter in the book "The Multifaced Nature of Bias in AI: Impact on Model Generalization, Robustness, and Fairness".

Paper accepted: IEEE Big Data 2025

Our Paper "A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective" was accepted at IEEE Big Data 2025. Congratz, Siamak!

MMM-FAIR featured in german tech magazine IT BOLTWISE

MMM-Fair, the open-source toolkit for fairness analysis in AI systems, was recently featured in the German tech magazine IT Boltwise.

Dr. Swati at EWAF’25 in Eindhoven.

Dr. Swati Swati presented her recent work at the European Workshop on Algorithmic Fairness (EWAF’25), held in Eindhoven, on 30 June – 02 July 2025.

🌱 STELAR’s 4th Plenary Session at UniBwM

The STELAR consortium convened for its 4th Plenary Meeting, hosted by the University of Bundeswehr Munich, as the project approaches its final phase in August 2025.

Paper published in the journal of Automation in Construction

Our paper "Generative AI-augmented offshore jacket design: Integrated approach for mixed tabular data generation under scarcity and imbalance" has been published in the journal Automation in Construction.

Paper accepted at FAccT 2025

Our paper “Achieving Socio-Economic Parity through the Lens of EU AI Act” was accepted at FAccT 2025. Congrats Arjun!

Paper accepted at IJCNN 2025

Our paper “Mitigating Semantic Drift: Evaluating LLMs Efficacy in Psychotherapy through In-context Conversational Dialogue Summarization Leveraging MITI Code” was accepted at IJCNN 2025. Congrats Vivek!

Paper accepted at WWW 2025

Our paper “Fairness Evaluation with Item Response Theory” was accepted at WWW 2025. Congrats Ziqi!

Advancing Fairness in AI: Key Insights from the MAMMOth Project’s 5th Plenary Meeting in Vienna

Swati Swati, Arjun Roy, and Prof. Eirini Ntoutsi took part in the 5th Plenary Meeting of the MAMMOth project in Vienna, 04-05 November 2024.

Looking back at 2024

As we conclude 2024, we take pride in the achievements of our research group. This year, we presented more than 10 papers at various international conferences, including ECMLPKDD, EWAF, PAKDD, CIRP ICME and ICAIF.

Manolis at ICAIF24 in New York, USA.

Our Ph.D. student, Manolis Panagiotou, attended the ACM International Conference on AI in Finance (ICAIF24) in Brooklyn, New York, and delivered an oral presentation of our paper titled "TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE", co-authored by Prof. Ntoutsi.

Vivek at Data Makers Fest, Porto, Portugal

Dr. Vivek Kumar from AIML team, gave a talk Titled “Unlocking LLMs: Forgiving errors, risks & ethical responsibility” at the second edition of Data Makers Fest in Porto Portugal from September 24-25, 2024.

AIML AT ECMLPKDD 2024 IN VILNIUS, LITHUANIA

Prof. Ntoutsi, and Ph.Ds Emmanouil Panagiotou, Chethan Krishnamurthy Ramanaik, Arjun Roy, und Siamak Ghodsi attended the ECML PKDD 2024 in Vilnius, Lithuania, from September 09-13, 2024. The conference is considered Europe's leading event for machine learning and data analytics and looks back on a history of over two decades.

SWATI AT EWAF 2024 IN MAINZ, GERMANY

Our Postdoctoral researcher, Swati Swati, attended EWAF’24 and delivered an oral presentation of our paper titled "Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb".

UniBwM at the 4th Plenary Meeting of Project MAMMOth: A Midpoint Milestone in Athens

The team from the University of Bundeswehr Munich (UniBwM), comprising Swati Swati and Arjun Roy, recently participated in the 4th plenary meeting of the MAMMOth project, held in the beautiful Mediterranean city of Athens. Taking place from April 17th to 18th, this meeting marked the halfway point of the project's timeline, blending productive discussions with the vibrant summer vibes of Athens.

Siamak at the PAKDD 2024 in Taipei, Taiwan.

Our paper was presented by our external Ph.D. Siamak Ghodsi at the PAKDD 2024 in Taipei, Taiwan.

"AI vs Human" at the versusfestival in the Silvretta Alps.

Prof. Ntoutsi took part in the "AI vs Human" panel at the versusfestival in the Silvretta Alps, Austria alongside  Dr Niya Stoimenova, with  Prof. Dr. Maximilian Lude moderating the discussion.

Closing discussion of the INDOR seminar series “Machines like us? How AI challenges education, economy, and society”

Prof. Ntoutsi delivered a position talk on bias in AI systems, titled “Machines like us? How AI challenges education, economy, and society”

Team AIML at the MAMMOth Project's 3rd Plenary Meeting in November 2023, in Bologna

Ph.D. Swati Swati, Ph.D. Arjun Roy and Prof. Eirini Ntoutsi (virtually) participated in the 3rd Plenary Meeting of the EU Horizon project MAMMOth in Bologna, Italy, from 07 to 08 November 2023. During the event, they presented our research on multi-dimensional fairness and engaged in discussions with other consortium members regarding the fairness of AI systems in scenarios involving multiple forms of discrimination and across various data modalities, including tabular data, graphs, and images.

New team member: Welcome Tobias!

Tobias Callies has joined our group in Munich. Tobias holds a Master of Mathematics in Data Science from TUM Munich, and a Bachelor in Business Mathematics from LMU Munich. Welcome on board Tobias!

New team member: Welcome Abheek!

Abheek Dhingra has joined our group in Munich. Abheek holds a Master of Science from RWTH Aachen University, Germany and a Bachelor from VIT University, India. Welcome on board Abheek!

Research Track co-chair for ECML PKDD 2024

Prof. Eirini Ntoutsi will be a Research Track co-chair for ECML PKDD 2024, the leading European conference on machine learning and data analytics, which will take place in Vilnius from September 9-13.