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Solutions and Asylum Procedures

After the COVID-19 pandemic stopped many asylum procedures across Europe, new technologies are now reviving these types of systems. From lie recognition tools tested at the boundary to a system for confirming documents and transcribes interviews, a wide range of systems is being used by asylum applications. This article explores just how these systems have reshaped the ways asylum procedures will be conducted. It reveals just how asylum seekers will be transformed into required hindered techno-users: They are asked to conform to a series www.ascella-llc.com/portals-of-the-board-of-directors-for-advising-migrant-workers of techno-bureaucratic steps and to keep up with unstable tiny changes in criteria and deadlines. This obstructs their particular capacity to browse through these devices and to follow their legal right for cover.

It also demonstrates how these types of technologies are embedded in refugee governance: They assist in the ‘circuits of financial-humanitarianism’ that function through a flutter of spread technological requirements. These requirements increase asylum seekers’ socio-legal precarity by hindering them from accessing the programs of cover. It further argues that studies of securitization and victimization should be coupled with an insight into the disciplinary mechanisms worth mentioning technologies, through which migrants are turned into data-generating subjects exactly who are regimented by their dependence on technology.

Drawing on Foucault’s notion of power/knowledge and comarcal knowledge, the article argues that these systems have an inherent obstructiveness. There is a double impact: although they assistance to expedite the asylum procedure, they also make it difficult with regards to refugees to navigate these systems. They are positioned in a ‘knowledge deficit’ that makes these people vulnerable to illegitimate decisions created by non-governmental stars, and ill-informed and unreliable narratives about their instances. Moreover, they will pose fresh risks of’machine mistakes’ that may result in inaccurate or discriminatory outcomes.

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