Dr. Swati at EWAF’25 in Eindhoven.
14 July 2025
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.
The presentation featured MMM-Fair, an interactive no-code toolkit designed for analyzing and operationalizing fairness trade-offs in machine learning systems. Developed in collaboration with Arjun Roy, Emmanouil Panagiotou, and Eirini Ntoutsi, the toolkit supports multi-attribute, multi-definition, and multi-objective fairness analysis. The work is part of the EU-funded projects MAMMOth and STELAR.
A poster showcasing the latest developments of MMM-Fair was presented at the workshop. Key features include visual trade-off analysis using Pareto frontiers, support for multiple fairness definitions and sensitive attributes, customizable constraint selection, model export functionality, and a chat-based interface powered by large language models for no-code auditing workflows.
MMM-Fair is openly available for use and contribution:
- GitHub: github.com/arjunroyihrpa/MMM_fair
- PyPI: pypi.org/project/mmm-fair/
- YouTube Demo: youtube.com/watch?v=_rcpjlXFqkw
The European Workshop on Algorithmic Fairness (EWAF) is an annual event that brings together researchers working on fairness in artificial intelligence and machine learning.
