On 28 March, the First Policy Event of the European DATA EQUALITY project to prevent and combat intersectional data discrimination was held in an online format. This activity aimed to present the most relevant insights from the Needs Assessment activities, as well as to discuss possible solutions based on the Technical Roadmap elaborated on the evaluation of existing AI solutions for predictive justice and for pre-existing OSINT (Open Source Intelligence) platforms to be free of bias in collecting and processing data.
The meeting was attended by researchers from the Euro-Arab Foundation, Rascha Albaba Acosta, Jose Luis Salido Medina and Paula Cano Cruz. The latter was in charge of presenting the results of the Needs Assessment, a task led by the Foundation, which aims to illustrate the roadmap and innovative ideas for data collection and elaboration through AI-based tools, involving stakeholders such as Judicial Authorities, LEAs (Law Enforcement Agencies), technology companies, research centres and representatives of CSOs (Civil Society Organisations).
The results of the Needs Assessment, gathered through desk research activities, a survey and semi-structured interviews, have highlighted the gap in both the public and private sectors in the collection, management and analysis of discrimination data, including the lack of knowledge on the general issue of data-based discrimination.
