AI Labour Rights Awareness and Career Adaptation Confidence among Respondents in Bangladesh
Abstract Artificial intelligence changes both the skills used at work and the conditions under which employment decisions are made. Awareness of these changes does not necessarily coincide with confidence in adapting a career. This study examines that distinction in 385 adult, AI-aware survey records from Bangladesh, including 238 law students and 61 respondents classified as law graduates. Five statements separately assess awareness of workplace rights and responsibilities, recognition of protection from unfair automated decisions, reported complementary skill development, adaptation confidence and the perceived preparedness benefit of understanding labour issues. Analyses combine full response distributions, joint endorsement patterns, paired comparisons, ordinal correlations and an exploratory proportional-odds model. Recognition of the need for protection was endorsed by 79.2%, compared with 48.8% endorsing adaptation confidence, a paired difference of 30.4 percentage points (95% bootstrap interval 23.9–36.6). General rights awareness and skill development had small positive ordinal associations with confidence. In the adjusted ordinal model, their odds ratios were 1.30 (95% interval 1.04–1.61; Holm p = 0.038) and 1.40 (1.09–1.79; Holm p = 0.024) respectively. The protection-recognition estimate was less certain, although the two awareness coefficients were not demonstrably different. The findings distinguish rights recognition, reported action and confidence rather than establish a causal awareness-to-adaptability pathway. They support evaluating legal-literacy education alongside practical career tasks and institutional safeguards. The mixed sample, study-specific single items, undocumented recruitment and fieldwork dates, and source-documentation limitations constrain inference. A subsequent study should use verified graduate eligibility, independent legal-knowledge assessments and longitudinal career outcomes.
Authors
- Kazi Abdul Mannan (ORCID: https://orcid.org/0000-0002-7123-132X)
- Sadia Afrin Soma (ORCID: https://orcid.org/0009-0000-2885-2692)
Institutions
- Shanto-Mariam University of Creative Technology (BD)
- Center for Academic & Professional Career Development and Research (CAPCDR) (BD)
Publication Details
- Journal
- Research Square
- Published
- 2026-11-02
- DOI
- https://doi.org/10.21203/rs.3.rs-11558886/v1
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- preprint