York Law School Leads $2.5M Grant to Challenge AI in Refugee Adjudication
A $2.5M SSHRC grant will fund the Algorithmic Justice for Refugees Research Network, aiming to establish legal accountability and transparent alternatives for AI-driven border decisions that violate refugee rights.
Key Takeaways
- A $2.5M SSHRC grant will fund the Algorithmic Justice for Refugees Research Network, aiming to establish legal accountability and transparent alternatives for AI-driven border decisions that violate refugee rights.
Mentioned
Key Intelligence
Key Facts
- 1$2.5 million SSHRC Partnership Grant awarded to York University’s Osgoode Hall Law School, led by Associate Professor Sean Rehaag, announced July 22, 2026.
- 2The Algorithmic Justice for Refugees Research Network (AJRRN) will investigate the impact of AI and digital surveillance technologies used in border control, including biometrics, automated decision-making, lie-detection, and drones.
- 3Global forced displacement has reached a historic high, exceeding 120 million people (UNHCR 2026), fueled by conflict and climate change, while border enforcement technologies proliferate.
- 4The project aims to document rights-violating impacts and co-develop rights-enhancing, transparent alternatives, with a focus on challenging private-sector-driven border security narratives.
- 5The initiative involves an international, interdisciplinary collaboration anchored by York’s Centre for Refugee Studies, combining legal, technical, and social science expertise.
- 6According to York Interim President Lisa Philipps, the project addresses “one of the defining social justice issues of our time,” reflecting its broad societal significance.
Largest known SSHRC grant dedicated to algorithmic justice in border control
Professor Rehaag and his international partners are confronting one of the defining social justice issues of our time, and York is proud to stand behind them.
During the grant announcement
Analysis
- Could set legal precedents for AI in border control
- Strenghtens international human rights frameworks
- Provides evidence for litigation and policy reform
- Governments may resist transparency mandates
- Rapid tech adoption outpaces research timelines
- Funding limited relative to private border-tech investment
Analysis
For legal professionals, the rapid deployment of unregulated AI in immigration and refugee adjudication strikes at the heart of due process and international human rights obligations. This interdisciplinary initiative will arm lawyers, judges, and policymakers with empirical evidence to challenge discriminatory algorithms and demand procedural fairness in an increasingly automated asylum system.
In an era of historic global displacement, border management has increasingly turned to advanced digital surveillance technologies, often with minimal oversight and profound implications for human rights. A new $2.5 million Social Sciences and Humanities Research Council (SSHRC) Partnership Grant awarded to York University’s Osgoode Hall Law School, announced on July 22, 2026, will fund an international initiative to investigate and mitigate these very dangers. Led by Associate Professor Sean Rehaag, the Algorithmic Justice for Refugees Research Network (AJRRN) aims to scrutinize the use of artificial intelligence and other digital tools in border control, which have been linked to rights violations and entrenched inequalities.
The scale of the challenge is immense. According to the United Nations High Commissioner for Refugees, over 120 million people are forcibly displaced worldwide in 2026, a record number driven by conflict, persecution, and climate change. Concurrently, governments have erected physical barriers and bolstered enforcement agencies, but they have also embraced a new generation of surveillance technologies. Biometric systems capture and store personal identifiers, automated decision-making tools adjudicate asylum claims with little transparency, lie-detection technologies—often based on questionable science—assess credibility, and drones patrol borders. These tools, frequently developed and sold by private companies, operate with scant regulatory oversight, raising urgent questions about privacy, discrimination, and due process.
The AJRRN project is designed as a global, interdisciplinary network that will bring together legal scholars, technologists, social scientists, and human rights advocates from multiple countries. The research will focus on three core objectives: first, to expose the inequitable and rights-violating impacts of these technologies, especially on already marginalized refugee populations; second, to challenge the dominant private-sector-driven narrative that equates border security with unchecked technological deployment; and third, to co-create and advocate for rights-enhancing, transparent alternatives that uphold international refugee law and human rights standards.
From a legal standpoint, the rise of AI in immigration adjudication poses fundamental challenges to established principles of procedural fairness. Automated decisions that reject refugee claims on the basis of algorithmic risk scores may lack the reasoned justification required by law, while data-driven profiling can reproduce historical biases. The project will provide empirical evidence that could support litigation and policy reform, much as earlier legal scholarship helped rein in other forms of administrative discretion. For instance, Canada’s own Federal Court has seen a surge in cases involving algorithm-assisted decisions, highlighting the need for robust accountability mechanisms.
The cybersecurity implications are equally stark. Border control systems amass vast quantities of sensitive biometric and personal data, creating attractive targets for malicious actors. A breach could expose refugee identities, endangering individuals who may face persecution if their location or status is revealed. Moreover, the fusion of disparate datasets can enable function creep, where data collected for one purpose is repurposed for law enforcement or even political surveillance. The project will examine these vulnerabilities and develop frameworks to ensure that any digital border system incorporates privacy-by-design and strong encryption, protecting both the data subjects and the integrity of the asylum process.
The funding, through SSHRC’s prestigious Partnership Grant program, acknowledges the societal urgency of this work. The involvement of York’s Centre for Refugee Studies, a long-established research hub, provides a critical foundation of expertise, and the collaboration spans academic institutions in the Global North and South, ensuring that the research is grounded in the lived experiences of refugees themselves.
What to Watch
However, significant obstacles remain. Governments may be reluctant to abandon technologies that they view as tools for efficiency and national security, and the powerful border-industrial complex—with billions of dollars at stake—will likely resist reforms that threaten profits. The effectiveness of the network will depend on its ability to translate research into actionable policy recommendations and to engage with international bodies such as the United Nations and regional courts. Moreover, the pace of technological change outstrips that of legal adaptation, meaning that the outputs of AJRRN must be timely and forward-looking.
Ultimately, the York-led project represents a timely and necessary intervention. As borders become more digitized and automated, the risk of a two-tier justice system—one for citizens and another for those seeking refuge—grows. By marrying human rights scholarship with technical analysis and cross-border cooperation, AJRRN could set a precedent for how societies govern the intersection of AI and human mobility. The outcomes will not only shape the future of refugee protection but also contribute to the wider debate on algorithmic accountability and digital ethics, making the $2.5 million investment a bellwether for a more humane and law-governed approach to border management.
Cite This Page
"York Law School Leads $2.5M Grant to Challenge AI in Refugee Adjudication." Legal & RegTech Intelligence Brief, July 23, 2026. https://getlegalbrief.com/story/york-u-2-5m-grant-refugee-ai-legal-challenge
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