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

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.

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Publication Details

Journal
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published
2024-10-16
DOI
https://doi.org/10.1609/aies.v7i1.31701
Primary Topic
demographic modeling and climate adaptation
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Isar Nejadgholi, Kimiya Missaghi, Samir Bakhtawar, Maryam Molamohammadi
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
demographic modeling and climate adaptation
article

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

Isar Nejadgholi, Kimiya Missaghi, Samir Bakhtawar, Maryam Molamohammadi
article en

Abstract

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.

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 7
Peace Corps (US), National Research Council Canada (CA), Mila - Quebec Artificial Intelligence Institute (CA)
Reduced inequalities
Openalex Percentile: Top 75%
demographic modeling and climate adaptation
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