Last Updated on December 6, 2023 by

Systems and Asylum Procedures

After the COVID-19 pandemic stopped many asylum procedures throughout Europe, fresh technologies have become reviving these types of systems. Out of lie detection tools analyzed at the edge to a program for verifying documents and transcribes interviews, a wide range of systems is being applied to asylum applications. This article explores how these technology have reshaped the ways asylum procedures are conducted. It reveals how asylum seekers happen to be transformed into pressured hindered techno-users: They are asked to comply with a series of techno-bureaucratic steps and also to keep up with unpredictable tiny within criteria and deadlines. This obstructs all their capacity to run these systems and to go after their legal right for safety.

It also displays how these technologies happen to be embedded in refugee governance: They accomplish the 'circuits of financial-humanitarianism' that function through a whirlwind of distributed technological requirements. These requirements increase asylum seekers' socio-legal precarity simply by hindering these people from interacting with the programs of proper protection. It further states that analyses of securitization and victimization should be along with an insight in to the disciplinary mechanisms worth mentioning technologies, through which migrants are turned into data-generating subjects exactly who are disciplined by their dependence on technology.

Drawing on Foucault's notion of power/knowledge and comarcal know-how, the article states that these systems have an inherent obstructiveness. They have a double impact: even though they assist to expedite the asylum process, they also help to make it difficult to get refugees to navigate these types of systems. They may be positioned in a 'knowledge deficit' that makes them vulnerable to illegitimate decisions made by non-governmental celebrities, and ill-informed and unreliable narratives about their conditions. Moreover, they pose fresh risks of'machine mistakes' which may result in erroneous or discriminatory outcomes.

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Created By Akshay Kharade At Widespread Solutions

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