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

• URL: http://arxiv.org/abs/2409.01461v1
• Date: Mon, 2 Sep 2024 20:52:11 GMT
• Title: Human-Centered AI Applications for Canada's Immigration Settlement Sector
• Authors: Isar Nejadgholi, Maryam Molamohammadi, Kimiya Missaghi, Samir Bakhtawar,
• Abstract summary: This paper emphasizes the potential of AI in Canada's immigration settlement phase. By highlighting the settlement sector as a prime candidate for reliable AI applications, we demonstrate its unique capacity to empower immigrants directly. We outline a vision for human-centred and responsible AI solutions that facilitate the integration of newcomers.
• Score: 5.5437761853813665
• License: http://creativecommons.org/licenses/by/4.0/
• 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.

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