Academic Journal

Artificial Intelligence and Automation in the Migration Governance of International Students: An Accidental Ethnography

Bibliographic Details
Title: Artificial Intelligence and Automation in the Migration Governance of International Students: An Accidental Ethnography
Authors: Lisa Ruth Brunner (ORCID 0000-0002-1765-4284), Wei William Tao
Source: Journal of International Students. 2024 14(1):269-288.
Abstract: Artificial intelligence (AI) and automation are newly impacting the governance of international students, a temporary resident category significant for both direct economic contributions and the formation of a "pool" of potential future immigrants in many immigrant-dependent countries. This paper focuses on tensions within Canada's education-migration ("edugration") system as new technologies intersect with migration regimes, which in turn relate to broader issues of security, administrative burdens, migration governance, and border imperialism. Using an Accidental Ethnography (AccE) approach drawing from practitioner-based legal research, we discuss three themes: (1) "bots at the gate" and the guise of AI's objectivity; (2) a murky international edu-tech industry; and (3) the administrative burdens of digitalized application systems. We suggest that researchers, particularly in education, can benefit from the insights of immigration practitioners who often become aware of potential trends before those less embedded in the everyday negotiation of migration governance.
Language: English
Availability: Journal of International Students. 4005 Spurgeon Drive #6, Monroe, LA 71203. Tel: 318-600-5743; Fax: 318-342-3131; e-mail: jis@ojed.org; Web site: https://www.ojed.org/index.php/jis/index
Peer Reviewed: Y
Page Count: 20
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Descriptors: Artificial Intelligence, Automation, Migration, Foreign Students, Foreign Countries, Technology Integration
Geographic Terms: Canada
ISSN: 2162-3104
2166-3750
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1416666
ISSN: 2162-31042166-3750
Database: ERIC