Automating Migration and Citizenship
Surveillance, Control and Critique
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Beschreibung
The proposed book undertakes a critical examination of the relationship between technologies of automation, migration and citizenship. Automation is refers to the use of technological systems to carry out operations independently, without human intervention (Nof, 2009). Typically automation is used to augment, improve, and complete tasks in a more efficient manner, promising significant benefits, from standardization to financial savings, freeing labour time for humans (Borry and Getha-Taylor, 2019; Restrepo, 2023). While technologies of automation are accompanied by narratives of progress and freedom, they are linked not only with increased surveillance but also with a shift in surveillance practices from discipline to prediction (Andrejevic, 2019; Zuboff, 2019). Automating technologies, especially machine learning algorithms, operate through sorting and categorisation, which are subsequently used to identify patterns and make predictions on the basis of these patterns. It comes as no surprise therefore that such technologies are involved in replicating discriminatory patterns of the past.
Mariangela Veikou is a Researcher at the Institute for Advanced Study in the Humanities and Social Sciences in the Netherlands.
Eugenia Siapera is a Professor in the School of Information and Communication Studies at University College Dublin, Ireland.
The proposed book undertakes a critical examination of the relationship between technologies of automation, migration and citizenship. Automation is refers to the use of technological systems to carry out operations independently, without human intervention (Nof, 2009). Typically automation is used to augment, improve, and complete tasks in a more efficient manner, promising significant benefits, from standardization to financial savings, freeing labour time for humans (Borry and Getha-Taylor, 2019; Restrepo, 2023). While technologies of automation are accompanied by narratives of progress and freedom, they are linked not only with increased surveillance but also with a shift in surveillance practices from discipline to prediction (Andrejevic, 2019; Zuboff, 2019). Automating technologies, especially machine learning algorithms, operate through sorting and categorisation, which are subsequently used to identify patterns and make predictions on the basis of these patterns. It comes as no surprise therefore that such technologies are involved in replicating discriminatory patterns of the past.
Maps and critically interrogates the use of techniques of automation in the domains of migration and citizenship Uncovers the ways in which stakeholders such as governments and NGOs engage with and push back against automation Focuses on the broader shifts in paradigms of migration and citizenship that are precipitated by automation
Autor*in
Eugenia Siapera
Themen in »Automating Migration and Citizenship«
migration technology automation citizenship surveillance algorithms discrimination border control securitisation digital border datafication mobility