Systems and Asylum Procedures

Systems and Asylum Procedures

After the COVID-19 pandemic halted many asylum procedures around Europe, new technologies are reviving these kinds of systems. From lie detection tools tested at the edge to a program for verifying documents and transcribes selection interviews, a wide range of technologies is being included in asylum applications. This article is exploring www.ascella-llc.com/what-is-the-due-diligence-data-room just how these systems have reshaped the ways asylum procedures are conducted. It reveals how asylum seekers will be transformed into required hindered techno-users: They are asked to comply with a series of techno-bureaucratic steps also to keep up with unstable tiny changes in criteria and deadlines. This kind of obstructs their capacity to browse through these systems and to follow their right for coverage.

It also displays how these technologies happen to be embedded in refugee governance: They facilitate the ‘circuits of financial-humanitarianism’ that function through a whirlwind of dispersed technological requirements. These requirements increase asylum seekers’ socio-legal precarity by hindering them from being able to access the channels of proper protection. It further states that studies of securitization and victimization should be put together with an insight into the disciplinary mechanisms of these technologies, by which migrants are turned into data-generating subjects who also are regimented by their dependence on technology.

Drawing on Foucault’s notion of power/knowledge and comarcal understanding, the article states that these technology have an inherent obstructiveness. There is a double result: when they assist with expedite the asylum procedure, they also make it difficult just for refugees to navigate these kinds of systems. They can be positioned in a ‘knowledge deficit’ that makes all of them vulnerable to illegitimate decisions of non-governmental celebrities, and ill-informed and unreliable narratives about their conditions. Moreover, they pose fresh risks of’machine mistakes’ which may result in incorrect or discriminatory outcomes.

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