Migration Strategy Group on International Cooperation and Development (MSG) (Hrsg.)

Jessica Bither and Astrid Ziebarth

Automating decision-making in migration policy: a navigation guide

Ausgabeart
PDF
Erscheinungstermin
18.11.2021
Auflage
1. Auflage
Umfang/Format
41 Seiten, PDF

Preis

kostenlos

Beschreibung

Algorithmic-driven or automated decision-making models (ADM) and programs are increasingly used by public administrations. To make sense of their function and decide whether or how to use them in migration of refugee policy will require consideration of the specific context in which they are being employed. This guide examines three concrete use cases at core nodes of migration policy in which automated decision-making is already either being developed or tested: visa application processes, placement matching to improve integration outcomes, and forecasting models to assist for planning and preparedness related to human mobility or displacement.

All cases raise the same categories of questions: from the data employed, to the motivation behind using a given system, to the action triggered by models. The nuances of each case demonstrate why it is crucial to understand these systems within a bigger socio-technological context and provide categories and questions that can help policymakers understand the most important implications of any new system, including both technical consideration as well as contextual questions.

Zugehörige Projekte

Cover Making fair migration a reality

Germany needs immigrants, as the country increasingly faces an aging population and skilled-labor shortages. In recent years, Germany has received – in addition to foreign workers – large numbers of refugees. The challenge ahead is to organize voluntary and forced migration in cooperation with international partners so as to benefit migrants, receiving countries and countries of origin alike.

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