DIVERSIFAIR aims to address intersectional bias in Artificial Intelligence (AI) by tackling systemic discrimination, to create fairer, more inclusive AI systems and ensure they are accessible and equitable for all.
GOALS & IMPACT
OUR APPROACH
DIVERSIFAIR aims to address two critical needs in the context of AI systems:
- Overcoming the scarcity of experts who can effectively address discrimination in AI systems.
- Integrating an intersectional approach to combat bias, inequality, and discrimination embedded in AI systems.
ACTIVITIES WE FOCUS ON
EMPOWERING KEY SECTORS
- Enhancing the digital skills and capacities of SMEs, educational institutions, and enforcement agencies through targeted training and advisory support.
- Promoting innovative ideas for detecting and preventing bias, particularly in recruitment processes
- Fostering collaboration and partnerships among public and private sectors to contribute to EU-wide policymaking and the development of an AI Governance Structure.
DEVELOPING KNOWLEDGE AND TOOLS
-
- Crafting a comprehensive body of academic and practical knowledge on intersectional AI bias.
-
- Building educational AI tools and processes as well as bias mitigation techniques.
RAISING AWARENESS
-
- Educating the public and organisations about AI bias through workshops, training programmes, and outreach campaigns
Contact
Stay in the Loop!
Don’t miss out on the latest updates, subscribe to our newsletter and be the first to know what’s happening.
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.