DiversiF-AI-R will develop a pioneering EU wide approach to deal with intersectional fairness in AI based on use cases, data, and models that originate or have been deployed in Europe. It will use innovative tools and structure them practically in two main knowledge hubs, containing user-friendly educational content in 2 main areas of fairer AI-Equality4Tech and Tech4Equality, accompanied by transversal use cases connecting across all project activities. Equality4Tech encompasses: 1.Sector-specific educational kits and Fair AI Scrum methodology for data scientists and AI practitioners and 2. Non-tech stakeholders AI BIAS awareness training. Tech4Equality detects sectional&intersectional bias from a technological point of view. It develops a Recruitment scenario on intersectional bias mitigation and detection to experiment and bring practical knowledge to AI experts and tech-related professionals. 8 consortium partners from 6 EU countries – academic/ research institutions create open-source reports, scientific articles, educational materials & lecture series on AI Intersectional fairness and Ethical auditing. DiversiF-AI-R builds a deeper understanding of harms and discriminatory impact of AI-facilitated outcomes on people's lives.It prepares the ground for effectively aligning AI systems’ development with EU values and robust regulation in the field of FAIR AI. VET partner consolidates and disseminates an eco-friendly, fully digitalized AI Intersectional bias educational program to beginner and seasoned AI professionals. The NGO partners craft and deliver AI Bias awareness training for social workers, HRs, policy-builders, and other non-tech stakeholders. DiversiF-AI-R incorporates voices of underprivileged groups. AI Bias training is freely accessible for them. More than 500 educated tech and non-tech participants, 6 education courses, 5 AI audits with sectorial case studies and large dissemination campaign to labour market players and EU policy-making iSummary.