After the COVID-19 pandemic halted many asylum procedures across Europe, fresh technologies have become reviving these systems. Right from lie recognition tools examined at the boundary to a program for confirming documents and transcribes interviews, a wide range of technology is being employed in asylum applications. This article is exploring just how these solutions have reshaped the ways asylum procedures are conducted. That reveals just how asylum seekers will be transformed into forced hindered techno-users: They are asked to conform to a series www.ascella-llc.com/generated-post of techno-bureaucratic steps and also to keep up with unforeseen tiny changes in criteria and deadlines. This kind of obstructs their particular capacity to work these systems and to pursue their legal right for cover.

It also displays how these technologies will be embedded in refugee governance: They aid the ‘circuits of financial-humanitarianism’ that function through a flutter of distributed technological requirements. These requirements increase asylum seekers’ socio-legal precarity simply by hindering these people from being able to access the programs of proper protection. It further argues that analyses of securitization and victimization should be combined with an insight in the disciplinary mechanisms of the technologies, through which migrants will be turned into data-generating subjects just who are self-disciplined by their reliability on technology.

Drawing on Foucault’s notion of power/knowledge and comarcal expertise, the article states that these technology have an natural obstructiveness. They have a double effect: although they assistance to 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 these people vulnerable to illegitimate decisions manufactured by non-governmental actors, and ill-informed and unreliable narratives about their conditions. Moreover, that they pose new risks of’machine mistakes’ that may result in inaccurate or discriminatory outcomes.

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