Digital data to identify, prevent and counter intersectional discrimination in Phygital AI-based environments
An initiative focused on addressing data-driven discrimination.
GA number: 101094241
Funded by: CERV Duration: 02/09/2024-01/09/2026
Challenge
The European Parliament has highlighted the importance of addressing “under-recording” and “under-reporting” by enhancing the knowledge and skills of judicial and law enforcement officials in handling reports and referrals of racially motivated crimes, particularly in accurately identifying and documenting incidents. Additionally, the E.U. Council has acknowledged the need for more research and data on discrimination, hate speech, and radicalization.
Innovation
DATA EQUALITY aims to prevent data-driven discrimination by developing a standardized methodology for Civil Society Organizations (CSOs) and Judicial bodies/Law Enforcement Agencies (LEAs) to collect, manage, analyze, and disseminate unbiased data. This approach considers key factors like gender, ethnicity, race, and minority identities. The methodology incorporates specific mechanisms and technical guidelines to help CSOs and LEAs use AI and Open Source Intelligence (OSINT) to filter out biased data and identify biased information effectively.
Action
“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 [name of the granting authority]. Neither the European Union nor the granting authority can be held responsible for them
Project Partners
