Systems and Asylum Procedures

After the COVID-19 pandemic stopped many asylum procedures throughout Europe, new technologies are actually reviving these kinds of systems. Coming from lie detection tools examined at the edge to a program for confirming documents and transcribes interviews, a wide range of solutions is being utilised in asylum applications. This article is exploring just how these technology have reshaped the ways asylum procedures will be conducted. It reveals just how asylum seekers happen to be transformed into forced hindered techno-users: They are asked to comply with a series of techno-bureaucratic steps and keep up with unpredictable tiny changes in criteria and deadlines. This kind of obstructs all their capacity to find their way these systems and to go after their right for cover.

It also demonstrates how these kinds of technologies will be embedded in refugee governance: They accomplish the ‘circuits of financial-humanitarianism’ that function through a whirlwind of distributed technological requirements. These requirements increase asylum seekers’ socio-legal precarity simply by hindering them from being able to view the programs of safety. It hop over to this website further argues that studies of securitization and victimization should be coupled with an insight into the disciplinary mechanisms worth mentioning technologies, in which migrants will be turned into data-generating subjects whom are disciplined by their reliance on technology.

Drawing on Foucault’s notion of power/knowledge and comarcal expertise, the article states that these solutions have an inherent obstructiveness. There is a double impact: while they assistance to expedite the asylum process, they also make it difficult intended for refugees to navigate these types of systems. They may be positioned in a ‘knowledge deficit’ that makes these people vulnerable to bogus decisions of non-governmental celebrities, and ill-informed and unreliable narratives about their conditions. Moreover, that they pose fresh risks of’machine mistakes’ which may result in incorrect or discriminatory outcomes.