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. MMM-Fair enables multi-definition, multi-objective, and multi-attribute fairness evaluations through an intuitive, no-code, LLM-powered interface.

The article highlights MMM-Fair’s practical value in supporting fairness-aware machine learning development and its availability as an open toolkit for researchers and practitioners.

The work was developed by Swati Swati, Arjun Roy, Emmanouil Panagiotou, and Eirini Ntoutsi, with support from the EU-funded MAMMOth and STELAR projects

Read the article here: https://www.it-boltwise.de/mmm-fair-ein-open-source-toolkit-zur-fairness-analyse-in-ki-systemen.html

MMM-Fair is openly available:
💻 GitHub: github.com/arjunroyihrpa/MMM_fair
📦 PyPI: pypi.org/project/mmm-fair
🎥 YouTube Demo: youtube.com/watch?v=_rcpjlXFqkw