A Chatbot for Asylum-Seeking Migrants in Europe
Bettina Fazzinga, Elena Palmieri, Margherita Vestoso, Luca Bolognini,, Andrea Galassi, Filippo Furfaro, Paolo Torroni

TL;DR
ACME is a chatbot designed to assist asylum-seeking migrants in Europe by using computational argumentation to help identify suitable protection levels, aiming to streamline the asylum process and reduce burden on authorities.
Contribution
The paper introduces ACME, a novel chatbot leveraging computational argumentation to support asylum seekers in Europe, enhancing decision-making and system efficiency.
Findings
Validated with domain experts in a case study
Potential to reduce workload for asylum authorities
Improves information access for migrants
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMigration and Labor Dynamics
