Technologies and Asylum Procedures

Technologies and Asylum Procedures

After the COVID-19 pandemic halted many asylum procedures around Europe, fresh technologies have become reviving these types of systems. From lie diagnosis tools tested at the edge to a system for verifying documents and transcribes selection interviews, a wide range of systems is being applied to asylum applications. This article is exploring just how these technology have reshaped the ways asylum procedures happen to be conducted. It reveals just how asylum seekers will be transformed into pressured hindered techno-users: They are asked to abide by a series read review of techno-bureaucratic steps and also to keep up with unstable tiny within criteria and deadlines. This kind of obstructs all their capacity to navigate these devices and to pursue their legal right for protection.

It also shows how these types of technologies happen to be 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 by simply hindering these people from interacting with the channels of safeguards. It further argues that examines of securitization and victimization should be combined with an insight in the disciplinary mechanisms of these technologies, by which migrants are turned into data-generating subjects just who are regimented by their dependence 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 impact: although they assist with expedite the asylum method, they also help to make it difficult designed for refugees to navigate these types of systems. They are simply positioned in a ‘knowledge deficit’ that makes these people vulnerable to bogus decisions manufactured by non-governmental stars, and ill-informed and unreliable narratives about their situations. Moreover, they pose fresh risks of’machine mistakes’ that may result in incorrect or discriminatory outcomes.

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