Dec 6, 2023
After the COVID-19 pandemic stopped many asylum procedures throughout Europe, fresh technologies are actually reviving these systems. Out of lie detection tools tested at the boundary to a program for validating documents and transcribes selection interviews, a wide range of solutions is being used by asylum applications. This article is exploring just how these systems have reshaped the ways asylum procedures happen to be conducted. That reveals how asylum seekers will be transformed into required hindered techno-users: They are asked to abide by a series of techno-bureaucratic steps and also to keep up with unstable tiny within criteria and deadlines. This obstructs all their capacity to find their way these systems and to pursue their legal right for safety.
It also demonstrates how these kinds of technologies happen to be embedded in refugee governance: They facilitate the ‘circuits of financial-humanitarianism’ that function through a flutter of dispersed technological requirements. These requirements increase asylum seekers’ socio-legal precarity by hindering these people from interacting with the programs of safeguard. It further states that studies of securitization and victimization should be put together with an insight into the disciplinary mechanisms for these technologies, through which migrants will be turned into data-generating subjects who have are regimented by their reliability on technology.
Drawing on Foucault’s notion of power/knowledge and comarcal knowledge, the article argues that these solutions have an inherent obstructiveness. They have a double result: www.ascella-llc.com/the-counseling-services-offers-free-confidential-counseling-services-to-enrolled-students/ while they aid to expedite the asylum process, they also make it difficult with regards to refugees to navigate these types of systems. They are simply positioned in a ‘knowledge deficit’ that makes these people vulnerable to illegitimate decisions created by non-governmental stars, and ill-informed and unreliable narratives about their instances. Moreover, they will pose fresh risks of’machine mistakes’ which may result in inaccurate or discriminatory outcomes.