Algorithmic-driven or automated decision-making models (ADM) and programs are increasingly used by public administrations to assist human decision-making processes in public policy—including migration and refugee policy. These systems are often presented as a neutral, technological fix to make policy and systems more efficient. However, migration policymakers and stakeholders often do not understand exactly how these systems operate. As a result, the implications of adopting ADM technology are still unclear, and sometimes not considered.
This “navigation guide” by Jessica Bither and Astrid Ziebarth examines three use cases in migration policy where automated decision-making is already being tested or employed: visa application processes, placement matching to improve integration outcomes, and forecasting models to assist for planning and preparedness related to human mobility or displacement. It is part of the "Migration Strategy Group," an initiative by the German Marshall Fund of the United States, the Bertelsmann Foundation, and the Robert Bosch Stiftung.