Submitted:
28 October 2026
Posted:
29 October 2026
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Abstract
Accurate and accessible information can help people navigating overseas employment, while generative artificial intelligence (AI) creates new questions about the quality and verification of migration-related advice. This study examines responses to statements about AI literacy and migrant-worker-rights information in 385 adult, AI-aware survey records from Bangladesh. The mixed sample includes law students, graduates, legal professionals and other respondents; prospective overseas workers are not identified in the workbook. The questionnaire asks about self-reported ability to locate rights information with AI, recognition of the need to verify migration information, awareness of misleading recruitment information and support for pre-departure AI-literacy training. It does not test knowledge of specific migrant-worker rights or observe use of an AI migration service. Item distributions, joint endorsement, paired comparisons and exploratory ordinal correlations are reported. Of 385 respondents, 256 (66.5%) endorsed the ability-to-locate statement, 341 (88.6%) endorsed the need to verify AI-generated migration information, and 267 (69.4%) supported AI-literacy training in pre-departure preparation. A total of 231 respondents (60.0%) endorsed both locating information and the need for verification; 110 endorsed verification without endorsing locating information. These answers do not establish actual verification or training effectiveness. The article distinguishes locating information, verifying its authority, knowing a legal right and obtaining an effective remedy. Future research should identify prospective workers, use rights-specific scenarios and document recruitment and consent procedures.
Keywords:
generative artificial intelligence
; migrant worker rights
; AI literacy
; verification
; pre-departure information
; Bangladesh
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.