Technologies and Asylum Procedures

After the COVID-19 pandemic stopped many asylum procedures across Europe, new technologies are actually reviving these types of systems. From lie recognition tools analyzed at the border to a program for validating documents and transcribes selection interviews, a wide range of solutions is being utilized for asylum applications. This article is exploring just how these systems have reshaped the ways asylum procedures are conducted. It reveals just how asylum seekers are transformed into required hindered techno-users: They are asked to adhere to a series counseling services for students of techno-bureaucratic steps and also to keep up with unpredictable tiny within criteria and deadlines. This kind of obstructs all their capacity to steer these devices and to follow their right for proper protection.

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

Drawing on Foucault’s notion of power/knowledge and comarcal expertise, the article argues that these technology have an natural obstructiveness. They have a double impact: although they assistance to expedite the asylum process, they also help to make it difficult for refugees to navigate these types of systems. They can be positioned in a ‘knowledge deficit’ that makes these people vulnerable to bogus decisions of non-governmental actors, and ill-informed and unreliable narratives about their instances. Moreover, they will pose fresh risks of’machine mistakes’ that may result in erroneous or discriminatory outcomes.

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