Artificial Intelligence (AI) in the asylum system

Amina Memon; Zoe Given-Wilson; Derya Ozkul; Karen Richmond; Julia Muraszkiewicz; Emma Weldon; Cornelius Katona

doi:10.1177/00258024241227721

Artificial Intelligence (AI) in the asylum system

Amina Memon
, Zoe Given-Wilson
, Derya Ozkul
, Karen Richmond
, Julia Muraszkiewicz
, Emma Weldon
, Cornelius Katona

Research output: Contribution to journal › Article › peer-review

139 Downloads (Pure)

Abstract

Recent years have seen rapid developments in the mobilising of Artificial Intelligence (AI) for the purposes of regulating migration, asylum decision-making, and border control. This paper reviews the applications of AI tools in the asylum context and considers their impact across diverse zones of human activity, including law, governance, and administration. Examples from human trafficking and modern slavery are also drawn upon to illustrate the potential of AI to assist more broadly in assessing risk and identifying support needs. Our aim is to review existing research and implementation of AI and its likely impact on outcomes for individuals seeking asylum and victims of trafficking.

Original language	English
Journal	Medicine Science and Law
Early online date	30 Jan 2024
DOIs	https://doi.org/10.1177/00258024241227721
Publication status	E-pub ahead of print - 30 Jan 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 5 Gender Equality
SDG 8 Decent Work and Economic Growth
SDG 16 Peace, Justice and Strong Institutions

Access to Document

10.1177/00258024241227721

Accepted ManuscriptAccepted author manuscript, 37.7 KBLicence: CC BY-NC-ND

Cite this

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