DATA EQUALITY focuses on data-driven discrimination and how to prevent new emerging forms of discrimination through the collection and exchange of unbiased data sets at cross-border level through multi-agency cooperation.
It aims to develop a shared European methodology for CSOs, LEAs and judiciary agencies that will allow them to cooperate more effectively in the collection, management analysis and exchange of information regarding the phenomenon of data discrimination, at the local, national and European levels.
More specifically, the project aims to:
- Assess current methodologies and challenges in collecting, managing, analysing, and exchanging data on discrimination in Europe and consortium countries. Additionally, it aims to assess the current mechanisms employed by AI-and-OSINT based tools to avoid bias in the elaboration of data and to identify biased information.
- Provide new settings for cooperation among LEAs/Judicial bodies, CSOs and discrimination experts, in order to facilitate dialogue and exchange of ideas between the two subgroups (judicial/law enforcement and CSOs) and its members, and develop a better understanding of the needs of other organisations, as well as the challenges they face in the collection, analysis and exchange of discrimination data, also through AI-and-OSINT based tools.
- Develop a new methodology for the collection, management, analysis, exchange and dissemination on data about discrimination, which will be employed by both CSOs and Judicial bodies/LEAs. The methodology will include a section on mechanisms and technical patterns identified to be applied to AI-and-OSINT based tools used by LEAs to avoid bias in the elaboration of data and to identify biased information.
- Provide capacity building activities that will train practitioners from EU countries and Albania, particularly members of CSOs and Judicial bodies/LEAs, on the use and application of the new methodology.
PROJECT
