Protecting vulnerable migrants against the risks of artificial intelligence technologies
Castets-Renard, Céline and Fournier-Tombs, Eleonore, "Protecting vulnerable migrants against the risks of artificial intelligence technologies" in THE IMPACTS OF COVID-19 ON MIGRATION AND MIGRANTS FROM A GENDER PERSPECTIVE (Geneva: International Organization for Migration, 2022), 171-184.
Document type:
Book Chapter
Collection:
-
Attached Files (Some files may be inaccessible until you login with your UNU Collections credentials) Name Description MIMEType Size Downloads Impacts-of-COVID-19-gender_1.pdf Impacts-of-COVID-19-gender_1.pdf application/pdf 251.08KB -
Author Castets-Renard, Céline
Fournier-Tombs, EleonoreChapter Title Protecting vulnerable migrants against the risks of artificial intelligence technologies Book Title THE IMPACTS OF COVID-19 ON MIGRATION AND MIGRANTS FROM A GENDER PERSPECTIVE Publication Date 2022-01 Place of Publication Geneva Publisher International Organization for Migration Start page 171 End page 184 Language eng Abstract In recent years, increasing attention has been paid to the potential of new technologies in the field of migration governance, whether to support the deployment of humanitarian aid for migrants, including refugees, or to better manage administrative processes. There has been notable interest in developing artificial intelligence (AI) technologies to make predictions related to migrant movements and to automate visa processing. However promising, these technologies are also currently weakly regulated, in that they do not yet benefit from the regulatory framework that other innovations might have to protect human beings against unintended consequences. Although these technologies were used before the pandemic, COVID-19 has accelerated the deployment of AI in relation to migrants globally, both in higher-income countries and in those already experiencing humanitarian crises. COVID-19 has, in fact, been named a data-driven pandemic. The use of AI models to mitigate the spread and severity of the disease has been largely driven by predictive and scenario-based models, which aim to work as support for public health agencies’ decision-making. Artificial intelligence has also been used to track and control border crossing, and to administer social protection and vaccines. During COVID-19, we have also seen the vulnerability of certain migrants exacerbated, with women and gender non-binary persons adversely impacted globally. They tend to be at further risk of marginalization, as well as physical and sexual assault. Many non-binary persons, for example, may be fleeing persecution, and are at risk of violence even inside camps. Copyright Holder International Organization for Migration Copyright Year 2022 Copyright type All rights reserved -
Citation counts Search Google Scholar Access Statistics: 113 Abstract Views, 84 File Downloads - Detailed Statistics Created: Fri, 30 Aug 2024, 17:32:32 JST by Qian Dai on behalf of UNU CS