DIVERSIFAIR is a pioneering three-year Erasmus+ project (2023-2026) that promotes intersectional fairness in and for AI systems. Our mission is to make AI fairer and more inclusive by developing educational resources for both technical and non-technical audiences.
DIVERSIFAIR’s official information sheet can be found on the Erasmus+ project results platform.
Intersectional fairness in AI is a holistic framework to understand and address the harms experienced by individuals due to the intersecting and often marginalised aspects of their identity. These harms, often based on compounding AI biases, lead to disproportionate disadvantages in AI-driven decisions.
DIVERSIFAIR Diversify with Intersectionally FAIRer AI is a European initiative uniting eight partner organisations to promote fairness in AI.
We recognise that discrimination is rarely based on just one characteristic—race, gender, disability, and other factors intersect in complex ways. That’s why DIVERSIFAIR moves beyond traditional fairness and bias-mitigation approaches that focus on single categories, ensuring instead AI systems are inclusive for all.
Our key activities at DIVERSIFAIR include:
At DIVERSIFAIR, we centre the experiences of those often marginalised by AI-driven decisions. Our project highlights case studies and best practices to develop solutions that align with the EU’s values of equality and inclusion. By working together, we can help ensure AI is used in ways that better serves diverse communities.
Explore our deliverables.
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This project has received funding from the European Education and Culture Executive Agency (EACEA) in the framework of Erasmus+, EU solidarity Corps A.2 – Skills and Innovation under grant agreement 101107969.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Culture Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.