Technologies and Asylum Procedures

After the COVID-19 pandemic halted many asylum procedures throughout Europe, new technologies are now reviving these systems. By lie recognition tools tested at the line to a system for confirming documents and transcribes interviews, a wide range of technologies is being employed in asylum applications. This article is exploring how these technology have reshaped the ways asylum procedures happen to be conducted. That reveals just how asylum seekers happen to be transformed into obligated hindered techno-users: They are asked to conform to a series of techno-bureaucratic steps and to keep up with unforeseen tiny changes in criteria and deadlines. This kind of obstructs their very own capacity to work these systems and to go after their legal right for proper protection.

It also demonstrates how these kinds of technologies will be embedded in refugee governance: They aid the ‘circuits of financial-humanitarianism’ that function through a whirlwind of spread technological requirements. These requirements increase asylum seekers’ socio-legal precarity by simply hindering these people from being able to view the stations of security. It further states that analyses of securitization and victimization should be put together with an insight in the disciplinary mechanisms of technologies, through which migrants are turned into data-generating subjects who have are regimented by their reliability on technology.

Drawing on Foucault’s notion of power/knowledge and comarcal understanding, the article states that these solutions have an inherent obstructiveness. There is a double effect: www.ascella-llc.com/what-is-the-due-diligence-data-room/ while they aid to expedite the asylum procedure, they also generate it difficult just for refugees to navigate these systems. They are positioned in a ‘knowledge deficit’ that makes these people vulnerable to bogus decisions created by non-governmental celebrities, and ill-informed and unreliable narratives about their instances. Moreover, they pose new risks of’machine mistakes’ which may result in inaccurate or discriminatory outcomes.

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