MAMMOth | Multi-attribute, Multimodal Bias Mitigation in AI Systems

NO. 101070285

NOV 1, 2022 – OCT 31, 2025

HORIZON

Description

The MAMMOth project focuses on multi-discrimination mitigation for tabular, network and multimodal data. Through its computer science / AI experts, MAMMOth aims at addressing the associated scientific challenges by developing an innovative fairness-aware AI-data driven foundation that provides the necessary tools and techniques for the discovery and mitigation of multi-discrimination and ensures the accountability of AI-systems with respect to multiple protected attributes and for traditional tabular data and more complex network and visual data.  The project will actively engage with numerous communities of vulnerable and (or) underrepresented groups in AI research right from the start, adopting a co-creation approach, to make sure that actual user needs and pains are at the centre of the research agenda and act as guidance to the project’s activities. 

The project aims to demonstrate through pilots the developed solutions into three relevant sectors of interest:

a) finance / loan applications

b) identity verification systems / facial recognition

c) academic evaluation

Project coordinator

Project partners

Centre for Research and Technology (Greece)

Freie Universitaet Berlin (Germany)

Complexity Science Hub Vienna (Austria)

Alma Mater Studiorum – Universita Di Bologna (Italy)

Rijksuniversiteit Groningen (Netherlands)

EXUS Software (Greece)

Trilateral Research Limited Ireland (Ireland)

Trilateral Research Ltd UK – affiliated (United Kingdom)

ARIADNEXT AXT (France)

CSI Centre for Social Innovation Ltd (Cyprus)

Associacio Forum Dona Activa 2010 (Spain)

IASIS (United Kingdom)

Contact person