After the COVID-19 pandemic halted many asylum procedures around Europe, fresh technologies are now reviving these types of systems. Coming from lie detection tools analyzed at the line to a program for validating documents and transcribes selection interviews, a wide range of technology is being made use of in asylum applications. This article is exploring how these solutions have reshaped the ways asylum procedures happen to be conducted. It reveals how asylum seekers happen to be transformed into forced hindered techno-users: They are asked to conform to a series of techno-bureaucratic steps and keep up with unforeseen tiny within criteria and deadlines. This obstructs the capacity to understand these devices and to go after their legal right for safety.

It also demonstrates how these technologies happen to be embedded in refugee governance: They aid the ‘circuits of financial-humanitarianism’ that function through a whirlwind of distributed technological requirements. These requirements increase asylum seekers’ socio-legal precarity by simply hindering these people from being able to access the stations of cover. It further argues that studies of securitization and victimization should be coupled with an insight in the disciplinary mechanisms of them technologies, through which migrants are turned into data-generating subjects who all are disciplined by their reliability on technology.

Drawing on Foucault’s notion of power/knowledge and comarcal expertise, the article states that these technologies have an natural obstructiveness. They have a double result: find more when they assist to expedite the asylum procedure, they also help to make it difficult just for refugees to navigate these systems. They can be positioned in a ‘knowledge deficit’ that makes all of them vulnerable to illegitimate decisions made by non-governmental stars, and ill-informed and unreliable narratives about their instances. Moreover, that they pose new risks of’machine mistakes’ which may result in incorrect or discriminatory outcomes.