Human-Centered AI Applications for Canada's Immigration Settlement Sector

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Nejadgholi, Isar, Molamohammadi, Maryam, Missaghi, Kimiya, Bakhtawar, Samir
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866913490475679744
author Nejadgholi, Isar
Molamohammadi, Maryam
Missaghi, Kimiya
Bakhtawar, Samir
author_facet Nejadgholi, Isar
Molamohammadi, Maryam
Missaghi, Kimiya
Bakhtawar, Samir
contents While AI has been frequently applied in the context of immigration, most of these applications focus on selection and screening, which primarily serve to empower states and authorities, raising concerns due to their understudied reliability and high impact on immigrants' lives. In contrast, this paper emphasizes the potential of AI in Canada's immigration settlement phase, a stage where access to information is crucial and service providers are overburdened. By highlighting the settlement sector as a prime candidate for reliable AI applications, we demonstrate its unique capacity to empower immigrants directly, yet it remains under-explored in AI research. We outline a vision for human-centred and responsible AI solutions that facilitate the integration of newcomers. We call on AI researchers to build upon our work and engage in multidisciplinary research and active collaboration with service providers and government organizations to develop tailored AI tools that are empowering, inclusive and safe.
format Preprint
id arxiv_https___arxiv_org_abs_2409_01461
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Human-Centered AI Applications for Canada's Immigration Settlement Sector
Nejadgholi, Isar
Molamohammadi, Maryam
Missaghi, Kimiya
Bakhtawar, Samir
Computers and Society
While AI has been frequently applied in the context of immigration, most of these applications focus on selection and screening, which primarily serve to empower states and authorities, raising concerns due to their understudied reliability and high impact on immigrants' lives. In contrast, this paper emphasizes the potential of AI in Canada's immigration settlement phase, a stage where access to information is crucial and service providers are overburdened. By highlighting the settlement sector as a prime candidate for reliable AI applications, we demonstrate its unique capacity to empower immigrants directly, yet it remains under-explored in AI research. We outline a vision for human-centred and responsible AI solutions that facilitate the integration of newcomers. We call on AI researchers to build upon our work and engage in multidisciplinary research and active collaboration with service providers and government organizations to develop tailored AI tools that are empowering, inclusive and safe.
title Human-Centered AI Applications for Canada's Immigration Settlement Sector
topic Computers and Society
url https://arxiv.org/abs/2409.01461