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An analysis of the influence of Predictive Policing on the level of police discrimination against ethnic minorities in Europe

Soysal, J.E. (2022) An analysis of the influence of Predictive Policing on the level of police discrimination against ethnic minorities in Europe.

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Abstract:In light of the global protests against racial police discrimination, this thesis examines the extent to which technology ameliorates or entrenches this problem. For this, three European countries are analyzed regarding their adherence to the Ethics Guidelines for Trustworthy AI (EGTAI). This thesis adds to the state of art by focusing on comparing European Predictive Policing projects, which have been neglected to date. The chosen methodology is a content analysis based on critical and postcolonial theories which aim to expose deeper issues that come with Machine Learning, specifically proxy discrimination, and which disproportionately affect marginalized groups such as ethnic minorities. The data consists of NGO and foundation papers, policy papers, guidelines, and scientific publications. The comparative case study approach reveals that none of the projects are fully in line with the EGTAI. However, projects aiming at geographical prediction like PRECOBS in Germany have a higher level of accountability and lower possibilities of discrimination compared to person-based predictions. The comparison allows for a best practice recommendation for Predictive Policing to abandon discriminatory police practices and provide a future of equal police treatment.
Item Type:Essay (Bachelor)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:88 social and public administration, 89 political science
Programme:Management Society and Technology BSc (56654)
Link to this item:https://purl.utwente.nl/essays/89521
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