Systems 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 analyzed at the border to a system for validating documents and transcribes interviews, a wide range of technologies is being made use of in asylum applications. This article is exploring just how these technologies have reshaped the ways asylum procedures are conducted. This reveals how asylum seekers will be transformed into required hindered techno-users: They are asked to comply with a series of techno-bureaucratic steps and also to keep up with unstable tiny changes in criteria and deadlines. This obstructs their very own capacity to understand these systems and to go after their right for coverage.
It also displays how these kinds of technologies are embedded in refugee governance: They accomplish 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 getting at the programs of security. It further argues that analyses of securitization and victimization should be combined with an insight in to the disciplinary mechanisms of these technologies, in which migrants happen to be turned into data-generating subjects whom are self-disciplined by their reliance on technology.
Drawing on Foucault’s notion of power/knowledge and comarcal knowledge, the article states that these technologies have an natural obstructiveness. They have a double result: although they assistance to expedite the asylum method, they also help to make it difficult just for refugees to navigate these kinds of systems. They may be positioned in a ‘knowledge deficit’ that makes them vulnerable to illegitimate decisions made by non-governmental celebrities, and www.ascella-llc.com/asylum-consultation/ ill-informed and unreliable narratives about their conditions. Moreover, they pose new risks of’machine mistakes’ which may result in inaccurate or discriminatory outcomes.
