Solutions and Asylum Procedures

After the COVID-19 pandemic stopped many asylum procedures throughout Europe, new technologies are reviving these kinds of systems. By lie recognition tools examined at the edge to a program for validating documents and transcribes interviews, a wide range of technologies is being utilized for asylum applications. This article is exploring just how these systems have reshaped the ways asylum procedures happen to be conducted. It reveals just how asylum seekers will be transformed into obligated hindered techno-users: They are asked to adhere to a series of techno-bureaucratic steps and to keep up with unstable tiny within criteria and deadlines. This kind of obstructs their capacity to browse these systems and to go after their right for cover.

It also displays how these kinds of technologies are embedded in refugee governance: They assist in the ‘circuits of financial-humanitarianism’ that function through a flutter of dispersed technological requirements. These requirements increase asylum seekers’ socio-legal precarity simply by hindering them from interacting with the stations of security. It further argues that analyses of securitization and victimization should be coupled with an insight in to the disciplinary mechanisms of technologies, in which migrants will be turned into data-generating subjects exactly who are self-disciplined by their reliability on technology.

Drawing on Foucault’s notion of power/knowledge and comarcal understanding, the article argues that these technology have an natural obstructiveness. They have a double result: whilst they assist with expedite the asylum process, they also generate it difficult pertaining to refugees to navigate these systems. They are simply positioned in a ‘knowledge deficit’ that makes them vulnerable to bogus decisions of non-governmental actors, and www.ascella-llc.com/portals-of-the-board-of-directors-for-advising-migrant-workers/ ill-informed and unreliable narratives about their conditions. Moreover, they will pose fresh risks of’machine mistakes’ which may result in inaccurate or discriminatory outcomes.