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AI Surveillance & US Deportations: Amnesty International Report

AI Surveillance & US Deportations: Amnesty International Report

The Algorithmic Border: how AI ‍Surveillance⁣ is Impacting Migrants and Eroding Human Rights

The promise of Artificial⁢ Intelligence (AI) often centers on efficiency ⁣and progress. However,a growing body ⁣of evidence reveals a darker side:‍ the deployment of AI-powered surveillance⁣ technologies⁢ at borders is increasingly impacting migrants,raising serious ⁣human rights concerns,and creating a “digital ⁣opposed environment.” ‌From the United states to the ‍united Kingdom, governments⁣ are​ relying on private tech companies to automate border control, frequently ⁣enough with limited clarity and accountability. This article delves into the emerging trends, the ethical dilemmas, ​and⁤ the urgent need⁢ for‌ a ​more ‍human-centered approach to technology progress and deployment.

The US Experience: Palantir, Babel Street, and the erosion of Due⁢ Process

Recent investigations, ⁢notably a report by Amnesty International,​ have brought to light the⁣ concerning role of⁣ companies​ like Palantir and ⁢Babel ⁤Street in providing ​AI-driven tools to US Customs and Border Protection ⁤(CBP).​ These tools aren’t simply about ‍identifying potential threats;⁤ they’re fundamentally ‍altering⁣ the way immigration enforcement operates.

Amnesty’s report details how Palantir’s “Falcon” system, and Babel⁤ Street’s analytical software, are ​used to collect, analyze, and act ⁤upon vast amounts of data – including ⁢social​ media posts, location data, and⁣ even publicly ⁣available information – to build profiles⁤ of ‍migrants. ⁤This data is ⁢then used ⁢to‍ predict migrant movements, identify potential “threats,” and ‍ultimately inform enforcement actions.

The ⁢core issue isn’t necessarily​ the use of data,but how ⁤it’s‍ used‌ and the lack of due process afforded ​to those impacted. As ⁤dr.⁢ Aisha Molnar, ⁣a researcher specializing in technology and⁣ human⁤ rights, explains, the problem‌ lies in the ‌absence of a “robust human-rights respecting framework.” ⁤ She advocates for​ comprehensive human rights and data impact assessments​ throughout the entire ⁤lifecycle of these projects,ensuring potential harms⁣ are identified and ⁣mitigated before ‌ deployment.

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Though, Molnar stresses ​that technical solutions alone aren’t enough. ​ “There needs to be public awareness of what these companies are doing,” she⁢ argues, and a critical examination of our investment in these technologies. “A ⁤divestment from certain companies” ‌may be necessary to signal⁤ a shift towards ethical practices.

Crucially, Molnar highlights a dangerous disconnect: “There needs ‍to be ​an open‍ dialogue between people who actually develop the technology and‌ the affected community, as there is this ⁢wall‌ right now between people who develop the tech and the people who the tech is hurting.”⁤ This lack of engagement⁣ perpetuates bias and reinforces systems that disproportionately ⁣harm vulnerable populations. These​ trends aren’t isolated ⁢to the US; they represent a global pattern, with​ the United States currently serving as a prominent example.

Notably, both Palantir and Babel Street declined to respond to specific questions from ‍Computer Weekly regarding⁢ algorithmic bias, human rights impacts,‌ and consultation⁣ with affected⁤ communities, raising further concerns​ about transparency⁤ and‍ accountability.

UK parallels: A “Digital Hostile Environment” Takes Shape

The concerns aren’t⁤ confined ‌to ​the US. Across​ the Atlantic, similar patterns ⁣are emerging in⁢ the⁣ United Kingdom, where AI is increasingly integrated into border ‍surveillance. The‍ Migrants’ Rights Network (MRN) has been actively investigating ‍the use of ⁢AI at the border, focusing on technologies ⁢like facial recognition and automated ‌surveillance systems.

“AI technologies are ‍used under the guise of ⁤efficiency,” ​explains a ⁢representative⁤ from MRN. “It allows border immigration systems to ‌become automated. It reduces the need ⁢for human​ intervention, for borders to be ⁤reliant on ⁢patrols ⁤or ⁤physical walls.”

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Though, this pursuit of efficiency ‍comes⁢ at ‌a⁤ cost. MRN argues that the ⁤government’s reliance‌ on private ​contractors is exacerbating an‌ already “digital hostile environment” ‍- a system designed⁢ to ⁢make life increasingly difficult for migrants. The challenge, ‌they⁢ point out, is obtaining information about how these technologies ⁤are actually being used.

Recent investigations​ illustrate this difficulty. Researcher ⁤Samuel Storey filed 27 Freedom of Information ​(FOI) ‌requests to investigate the​ Home⁤ Office’s deployment of Anduril Maritime Sentry Towers on the south-east coast of‍ England. While the ⁣Home Office ‍claimed the towers were for “environmental protection,” Storey argues they are primarily used for surveillance of ⁣migrant crossings.

“The FOI system is an extension of state secrecy,” ​Storey contends. “It’s not‌ really ‍a tool‌ for the freedom of information, ⁤but an extension of the state’s capacity to not divulge or disclose.”

data ⁤Privacy‌ and the Role of⁣ Big Tech

Beyond ⁢surveillance, data privacy is a major concern. ‍MRN raises questions about where the data collected by ​these‍ systems

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