After the COVID-19 pandemic halted many asylum procedures throughout Europe, fresh technologies are now reviving these kinds of systems. By lie diagnosis tools tested at the border to a system for confirming documents and transcribes interviews, a wide range of systems is being included in asylum applications. This article explores just how these technologies have reshaped the ways asylum procedures will be conducted. It reveals just how asylum seekers will be transformed into pressured 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 kind of obstructs the capacity to find their way these systems and to follow their legal right for safeguard.
It also illustrates how these kinds of technologies will be embedded in refugee governance: They assist in the 'circuits of financial-humanitarianism' that function through a flutter of spread technological requirements. These requirements increase asylum seekers' socio-legal precarity simply by hindering these people from accessing the channels of security. It further argues that examines of securitization and victimization should be put together with an insight into the disciplinary mechanisms of such technologies, through which migrants happen to be turned into data-generating subjects whom are self-disciplined by their dependence on technology.
Drawing on Foucault's notion of power/knowledge and comarcal understanding, the article argues that these systems have an inherent obstructiveness. They have a double impact: even though they assist with expedite the asylum method, they also generate it difficult pertaining to refugees to navigate these types of systems. They are simply positioned in a 'knowledge deficit' that makes them vulnerable to bogus decisions created by non-governmental celebrities, and asylum consultation ill-informed and unreliable narratives about their conditions. Moreover, that they pose new risks of'machine mistakes' which may result in inaccurate or discriminatory outcomes.