Digitalization and Artificial Intelligence in Migration and Mobility: Transnational Implications of the COVID-19 Pandemic

被引:14
作者
McAuliffe, Marie [1 ]
Blower, Jenna [2 ]
Beduschi, Ana [3 ]
机构
[1] Australian Natl Univ, Int Org Migrat, Canberra, ACT 0200, Australia
[2] York Univ, Dept Social Anthropol, Toronto, ON M3J IP3, Canada
[3] Univ Exeter, Law Sch, Exeter EX4 4PY, Devon, England
关键词
international migration; mobility; Migration Cycle; artificial intelligence; digitalization; digital divide; COVID-19; human rights; AI; NETWORKS; IOT;
D O I
10.3390/soc11040135
中图分类号
C91 [社会学];
学科分类号
030301 ; 1204 ;
摘要
Digitalization and artificial intelligence (AI) technologies in migration and mobility have incrementally expanded over recent years. Iterative approaches to AI deployment experienced a surge during 2020 and into 2021, largely due to COVID-19 forcing greater reliance on advanced digital technology to monitor, inform and respond to the pandemic. This paper critically examines the implications of intensifying digitalization and AI for migration and mobility systems for a post-COVID transnational context. First, it situates digitalization and AI in migration by analyzing its uptake throughout the Migration Cycle. Second, the article evaluates the current challenges and, opportunities to migrants and migration systems brought about by deepening digitalization due to COVID-19, finding that while these expanding technologies can bolster human rights and support international development, potential gains can and are being eroded because of design, development and implementation aspects. Through a critical review of available literature on the subject, this paper argues that recent changes brought about by COVID-19 highlight that computational advances need to incorporate human rights throughout design and development stages, extending well beyond technical feasibility. This also extends beyond tech company references to inclusivity and transparency and requires analysis of systemic risks to migration and mobility regimes arising from advances in AI and related technologies.
引用
收藏
页数:13
相关论文
共 67 条
[1]   Towards explainable deep neural networks (xDNN) [J].
Angelov, Plamen ;
Soares, Eduardo .
NEURAL NETWORKS, 2020, 130 :185-194
[2]  
[Anonymous], 2021, [No title captured]
[3]  
[Anonymous], 2020, REP SECR GEN ROADM D
[4]  
AUS DEM MOORE J. P., 2018, The Future of Jobs in the Middle East
[5]  
Australian National Audit Office (ANAO), 2008, DIACS MAN INTR BIOM
[6]  
Beduschi A., 2021, COVID 19 HLTH STATUS
[7]   International migration management in the age of artificial intelligence [J].
Beduschi, Ana .
MIGRATION STUDIES, 2021, 9 (03) :576-596
[8]  
Bither J., AI DIGITAL IDENTITIE
[9]  
Blum S., 2020, TRANSP SECUR INT