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Final Press Release

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, more inclusive, and more accountable. Coordinated by the Centre for Research and Technology Hellas (CERTH), MAMMOth brought together a consortium of leading universities, research centres, SMEs, and civil society organisations across Europe. The project was committed to reducing gender, racial, and other forms of bias in AI systems. Its outcomes provide policymakers, technology developers, and civil society actors with concrete tools, knowledge, and strategies to embed fairness at the centre of AI innovation. Principal Outcomes Significance and Legacy MAMMOth has transformed approaches to AI fairness by moving beyond single-attribute methods to address intersectional and multimodal bias. The project advanced state-of-the-art research while also delivering resources with tangible applications in finance, identity verification, education, and other sectors. Inclusive co-creation workshops ensured that underrepresented voices informed the development of tools and methodologies, embedding fairness in AI in a context-sensitive and socially responsible manner. The project’s legacy will continue through its open-source tools, academic resources, and policy frameworks, which remain freely accessible via the AI-on-Demand platform, GitHub, and the official website mammoth-ai.eu. These resources will further support developers, regulators, and communities in building trustworthy, fairness-aware AI systems.

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July Newsletter ’26

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 in our pursuit of excellence, particularly through the EU-funded project MAMMOth Multi-Attribute, Multimodal Bias Mitigation in AI Systems…

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Training Materials

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!

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AI Fairness Definition Guide

In the context of the Horizon Europe MAMMOth project, we developed the “AI Fairness Definition Guide” to help those creating AI (such as researchers, developers, and product owners) understand how to define fairness in the social context of their created systems by working with stakeholders and experts from other disciplines…

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January Newsletter

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 in our pursuit of excellence, particularly through the EU-funded project MAMMOth Multi-Attribute, Multimodal Bias Mitigation in AI Systems…

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AI Fairness Cluster Inaugural Conference

Four Horizon Europe projects researching on methods to prevent, detect, and mitigate discriminatory risks in AI have recently formed the AI Fairness Cluster: AEQUITAS, BIAS, FINDHR, and MAMMOth. Together, they form a network comprising over 50 institutions across Europe including universities, research centers, non-governmental organizations, large industry players, and SMEs…

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