Technology and Asylum Procedures

After the COVID-19 pandemic halted many asylum procedures around Europe, new technologies are reviving these types of systems. By lie recognition tools examined at the boundary to a program for validating documents and transcribes interviews, a wide range of technology is being utilized for asylum applications. This article is exploring how these systems have reshaped the ways asylum procedures happen to be conducted. It reveals how asylum seekers will be transformed into required hindered techno-users: They are asked to adhere to a series of techno-bureaucratic steps and also to keep up with unstable tiny changes in criteria and deadlines. This kind of obstructs their particular capacity to run these systems and to go after their legal right for protection.

It also demonstrates how these technologies will be embedded in refugee governance: They accomplish the ‘circuits of financial-humanitarianism’ that function through a flutter of spread technological requirements. These requirements increase asylum seekers’ socio-legal precarity by simply hindering all of them from opening the stations of cover. It further states that studies of securitization and victimization should be along with an insight in the disciplinary mechanisms of the technologies, by which migrants are turned into data-generating subjects whom are self-disciplined by their dependence on technology.

Drawing on Foucault’s notion of power/knowledge and comarcal knowledge, the article states that these solutions have an inherent obstructiveness. They have a double impact: www.ascella-llc.com/generated-post-2 although they assistance to expedite the asylum procedure, they also produce it difficult designed for refugees to navigate these systems. They can be positioned in a ‘knowledge deficit’ that makes all of them vulnerable to bogus decisions created by non-governmental stars, and ill-informed and unreliable narratives about their circumstances. Moreover, that they pose new risks of’machine mistakes’ which may result in inaccurate or discriminatory outcomes.