Investigate the fairness of AI models and search for prospective fixes through a UI that integrates many project and third-party results.
Construct many fairness evaluation measures from a wide range of building blocks to gain a broad perspective in multi-attribute settings.
Novel algorithms to mitigate biases from tabular data to images, graphs, and tabular data modalities, as well as their combinations.
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 (AI) fairer,
Excited to announce the release of the training materials from the MAMMOth Multi-Attribute, Multimodal Bias Mitigation in AI Systems” project by the University of Groningen!
Welcome to the first official newsletter for the year 2024! We’re excited to bring you the latest updates and highlights from the MAMMOth Project, including the remarkable strides we’ve taken
AI Biases in Face Verification AI Biases in Finance AI Biases in Academic Citations AI Ethics & Biases
