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Technologies and Asylum Procedures

After the COVID-19 pandemic stopped many asylum procedures across Europe, fresh technologies have become reviving these systems. By lie recognition tools examined at the line to a system for verifying documents and transcribes selection interviews, a wide range of systems is being employed in asylum applications. This article is exploring just how these technology have reshaped the ways asylum procedures happen to be conducted. It reveals just how asylum seekers are transformed into pressured hindered techno-users: They are asked to conform to a series of techno-bureaucratic steps and keep up with capricious tiny changes in criteria and deadlines. This obstructs their very own capacity to navigate these systems and to pursue their right for safeguards.

It also illustrates how these kinds of technologies happen to be embedded in refugee governance: They assist in the ‘circuits of financial-humanitarianism’ that function through a whirlwind of distributed technological requirements. These requirements increase asylum seekers’ socio-legal precarity by hindering them from being able to access the programs of cover. It further states that examines of securitization and victimization should be put together with an insight in to the disciplinary mechanisms for these technologies, in which migrants are turned into data-generating subjects who are disciplined by their reliability on technology.

Drawing on Foucault’s notion of power/knowledge and comarcal knowledge, the article states that these technology have an inherent obstructiveness. They have a double impact: www.ascella-llc.com/generated-post-2 although they help to expedite the asylum procedure, they also help to make it difficult with respect to refugees to navigate these kinds of systems. They may be positioned in a ‘knowledge deficit’ that makes all of them vulnerable to illegitimate decisions manufactured by non-governmental stars, and ill-informed and unreliable narratives about their instances. Moreover, they pose fresh risks of’machine mistakes’ that may result in incorrect or discriminatory outcomes.

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