A Chatbot for Asylum-Seeking Migrants in Europe
🤖 AI Summary
To address information asymmetry and inefficient legal eligibility assessment for asylum seekers in Europe, this paper introduces ACME, an intelligent question-answering system. ACME is the first to apply computational argumentation to asylum law, integrating a rule-based engine, a domain-specific legal knowledge graph, and a natural-language interface to deliver explainable, regulation-compliant, and non-expert-accessible automated identification of protection status levels. Validated on expert-annotated asylum cases, ACME accurately determines the highest legally applicable protection tier—such as refugee status, subsidiary protection, or non-refoulement—thereby significantly improving initial screening efficiency and reducing administrative and judicial burdens on immigration authorities, courts, and humanitarian organizations. Its core contribution lies in pioneering the formal modeling of asylum law reasoning via computational argumentation, uniquely balancing logical rigor with practical usability for diverse stakeholders.
Application Category
📝 Abstract
We present ACME: A Chatbot for asylum-seeking Migrants in Europe. ACME relies on computational argumentation and aims to help migrants identify the highest level of protection they can apply for. This would contribute to a more sustainable migration by reducing the load on territorial commissions, Courts, and humanitarian organizations supporting asylum applicants. We describe the background context, system architecture, underlying technologies, and a case study used to validate the tool with domain experts.
Problem
Research questions and friction points this paper is trying to address.
Migration
Support Services
Simplification
Innovation
Methods, ideas, or system contributions that make the work stand out.
ACME Chatbot
Immigrant Assistance Technology
Process Optimization
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