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Refugee Aid: Data, AI & the Future of Humanitarianism - News Directory 3

Refugee Aid: Data, AI & the Future of Humanitarianism

May 28, 2025 Catherine Williams World
News Context
At a glance
  • In refugee camps like Za’atari, iris scanners are used to register transactions on blockchain networks, illustrating ‍how digital technology is transforming humanitarian aid.
  • The United Nations High Commissioner for Refugees (UNHCR) began using⁣ the Biometric Identity Management‍ System (BIMS) after a trial in pakistan.
  • By 2020, over 37 million ⁢refugees globally had⁤ their biometric data registered through BIMS into PRIMES.
Original source: merip.org

Digital technology is reshaping refugee aid,⁣ but at what cost? This piece explores how biometric registration, data analytics, and artificial intelligence (AI) are ⁢transforming humanitarian efforts. Learn⁢ how the “Za’atari ‍Model,” using iris scanners⁢ and blockchain, is becoming standard, digitizing refugee experiences.⁣ Understand the ‍role of AI in predictive analytics, and the rise of robotics in⁢ delivering aid,⁢ all while unpacking ethical dilemmas surrounding data protection and⁢ potential ⁢biases. discover how⁤ the same technology used⁢ in⁢ digital humanitarianism is reflected in digitized warfare, raising profound questions⁣ about ⁢the future. For critical insights, News Directory 3 has you ⁣covered. ⁢Discover what’s next in this ⁤ever-evolving field.

Key Points

  • Biometric registration is now⁣ a prerequisite for aid in many refugee camps.
  • Data⁢ from humanitarian efforts fuels predictive analytics and AI.
  • Robotics and AI are changing how aid ‍is delivered, raising ethical questions.

Digital Humanitarianism: How Technology Reshapes Refugee Aid and Surveillance

Updated⁢ May 28, 2025

In refugee camps like Za’atari, iris scanners are used to register transactions on blockchain networks, illustrating ‍how digital technology is transforming humanitarian aid. This biometric system, ⁤initially intended⁢ to track refugee registration, has⁤ evolved into a comprehensive surveillance operation.

The United Nations High Commissioner for Refugees (UNHCR) began using⁣ the Biometric Identity Management‍ System (BIMS) after a trial in pakistan. now, over 90% of Syrian⁣ refugees in Za’atari ‍are registered⁤ in BIMS ‍to receive aid.This “Za’atari Model” has become standard, digitizing refugee life events and requiring biometric registration for asylum applications and humanitarian assistance.

By 2020, over 37 million ⁢refugees globally had⁤ their biometric data registered through BIMS into PRIMES. They receive aid ‍payments via digital ⁢wallets⁣ and communicate with the UNHCR through chatbots. This shift reflects a broader trend of integrating robotics, biometrics, and artificial intelligence into humanitarian efforts, notably in⁢ the middle East and North Africa.

These technologies aim to enhance efficiency, but they also rely heavily on data. As one observer noted, “data is the new oil,” driving commercial interests in the humanitarian⁣ sector.⁢ Companies ‍develop mobile payment apps and biometric registration⁢ systems, while states like the United Arab Emirates create digital platforms to coordinate aid logistics.

Though, the involvement of⁢ tech companies raises concerns ⁢about data protection and the potential for profit to compromise humanitarian principles. Without strong data protection laws,refugee data ‍can become a commodity,raising ethical questions about its use and circulation.

Predictive analytics, using⁤ platforms like the WFP’s SHAPES, forecast food security outcomes. While these tools can‍ reduce assessment times, they also raise concerns about algorithmic biases and the use of⁢ data collected⁤ without full consent.

As a result, knowledge about emergencies and those affected⁣ by them is no longer being produced in ⁣context but rather through machines and artificial intelligence that dictate how humanitarians⁤ should intervene in crisis situations.

Robotics also plays a role, with initiatives like the DARPA Robotics Challenge spurring the development ⁣of robots for disaster relief. Robots like Sophia, a UNDP Innovation Ambassador, and Herbert the⁢ Sherp, an amphibious truck, exemplify this trend. ‍These technologies ⁣aim to deliver aid to dangerous areas, but they also raise⁤ ethical questions about who‍ receives aid ⁣and who ⁢decides.

Sophia at the AI ⁤for Good Global Summit 2018,Geneva.Photo courtesy of the UN’s ITU.
Sophia at the ‍AI for Good ⁤Global Summit 2018, Geneva. Photo courtesy of the UN’s ITU.

These technologies mirror those used in warfare, raising further concerns. Systems ‍like Israel’s “Lavender” and “the Gospel”⁣ use AI to identify targets, often with minimal human oversight. This blurring of lines ⁤between humanitarianism and warfare raises questions ⁣about the ethical implications of digital aid.

The success of the Za’atari ⁣model has led to its adoption in other refugee camps.while proponents emphasize ⁤accountability, clarity, and efficiency, critics argue that these rationalizations mask data extraction and commodification.

Many companies involved in digital humanitarianism are also implicated in digitized warfare. This overlap raises concerns about how these companies are reshaping⁣ humanitarian norms and principles, especially as new crises emerge.

…many of the same companies‍ at the forefront of digital⁣ humanitarianism are implicated in digitized warfare and other forms of surveillance and violence.

What’s‍ next

As humanitarian ‍actors increasingly turn to digital tools, it is indeed crucial to address ⁣the ethical implications of data collection, algorithmic bias, and the blurring‍ lines between humanitarianism and warfare. The future ⁣of aid depends on ensuring that technology serves to protect and empower vulnerable populations, rather than exploit them.

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