Systems and Asylum Procedures

After the COVID-19 pandemic halted many asylum procedures across Europe, fresh technologies are now reviving these kinds of systems. From lie recognition tools examined at the edge to a program for confirming documents and transcribes selection interviews, a wide range of technologies is being applied to asylum applications. This article explores www.ascella-llc.com/what-is-the-due-diligence-data-room just how these systems have reshaped the ways asylum procedures are conducted. That reveals just how asylum seekers are transformed into forced hindered techno-users: They are asked to conform to a series of techno-bureaucratic steps and also to keep up with capricious tiny changes in criteria and deadlines. This kind of obstructs all their capacity to run these devices and to pursue their legal right for safeguards.

It also displays how these kinds of technologies will be embedded in refugee governance: They accomplish the ‘circuits of financial-humanitarianism’ that function through a flutter of distributed technological requirements. These requirements increase asylum seekers’ socio-legal precarity by hindering all of them from being able to access the channels of coverage. It further states that examines of securitization and victimization should be coupled with an insight in the disciplinary mechanisms of the technologies, by which migrants happen to be turned into data-generating subjects who are regimented by their reliance on technology.

Drawing on Foucault’s notion of power/knowledge and comarcal knowledge, the article argues that these technologies have an inherent obstructiveness. They have a double impact: even though they aid to expedite the asylum process, they also produce it difficult with regards to refugees to navigate these kinds of systems. They are positioned in a ‘knowledge deficit’ that makes these people vulnerable to illegitimate decisions of non-governmental celebrities, and ill-informed and unreliable narratives about their circumstances. Moreover, they pose fresh risks of’machine mistakes’ which may result in incorrect or discriminatory outcomes.

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