Refugees Are At Risk From Dystopian ‘Smart Border’ Technology
New technologies deployed on borders for migration management and border security under the umbrella of smart border solutions are ignoring the fundamental human rights of migrants.
Unmanned aerial vehicles (drones, for example) are often deployed in the surveillance of refugees in the US and the EU; big data analytics are being used to monitor migrants approaching the border. Though methods of border security and management vary, a great deal are increasingly used to prevent migratory movements.
Artificial intelligence (AI) is an important component of migration management. For instance, the EU, the US and Canada invest in AI algorithms to automate decisions on asylum and visa applications and refugee resettlement. Meanwhile, the real-time data collected from migrants by various smart border and virtual wall solutions such as satellites, drones and sensors are assessed by AI algorithms on the border.
At the US-Mexico border, for example,the US Customs and Border Protection (CBP) agency is using artificial intelligence, military drones with facial recognition technologies, thermal imaging and fake cellphone towers to monitor migrants before they even reach the border. They can listen to conversations between migrants, try to identify them from their faces, check out their social media accounts and locate people trying to cross borders.
A new UN report has warned about the risks of so-called “smart” border technology on refugees in particular. These technologies are helping border agencies to stop and control the movement of migrants, securitise migration governance by treating migrants as criminals and ignore the fundamental rights of people to seek asylum. Furthermore, they collect all data without taking the consent of migrants - factors that in other circumstances would likely be criminal if deployed against citizens.
As researcher Roxana Akhmetova has written: “the automated decision-making processes can exacerbate pre-existing vulnerabilities by adding on risks such as bias, error, system failure and theft of data. All of which can result in greater harm to migrants and their families. A rejected claim formed on an erroneous basis can lead to persecution.”
This is a good example of how algorithmic technology more generally can be influenced through the biases of its creators to discriminate against the lower classes of society and serve the privileged ones. In the case of refugees, people who have had to flee their homes because of war are now being subjected to experiments with advanced technology that will increase the risks carried by this already vulnerable population.