Developing AI predictive migration tools to enhance humanitarian support : the case of EUMigraTool
Blasi Casagran, Cristina (Universitat Autònoma de Barcelona)
Stavropoulos, Georgios (Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece)

Data:	2024
Resum:	The EUMigraTool (EMT) provides short-term and mid-term predictions of asylum seekers arriving in the European Union, drawing on multiple sources of public information and with a focus on human rights. After 3 years of development, it has been tested in real environments by 17 NGOs working with migrants in Spain, Italy, and Greece. This paper will first describe the functionalities, models, and features of the EMT. It will then analyze the main challenges and limitations of developing a tool for non-profit organizations, focusing on issues such as (1) the validation process and accuracy, and (2) the main ethical concerns, including the challenging exploitation plan when the main target group are NGOs. The overall purpose of this paper is to share the results and lessons learned from the creation of the EMT, and to reflect on the main elements that need to be considered when developing a predictive tool for assisting NGOs in the field of migration.
Ajuts:	European Commission 882986
Nota:	Altres ajuts: acords transformatius de la UAB
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Predictive tools ; Migration ; Humanitarian tools ; EUMigraTool ; Artificial intelligence
Publicat a:	Data & policy, Vol. 6 (2024) , p. e64, ISSN 2632-3249

DOI: 10.1017/dap.2024.76

19 p, 536.5 KB

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