Generative AI and Social Inequality in Education: A Human-Centered Social Science Review of Global and Indonesian Evidence
This review examined how generative artificial intelligence (AI) can widen educational opportunity while also reproducing social inequality. An integrative review synthesized 24 sources: 17 Indonesian publications (2022–2026), identified through national journal portals and Google Scholar, and seven international policy documents and scholarly works (2016–2023) selected as conceptual anchors. Thematic analysis produced four themes: unequal access, unequal digital and AI literacy, unequal capacity to benefit from…
The benefits of generative AI in education depend on connectivity, devices, language resources, teacher competence, and evaluation skills, so unequal access and literacy can reproduce social inequality and raise governance risks.
The Indonesian evidence is mostly cross-sectional, self-reported, or from small single-institution samples with little evidence on learning outcomes, and the proposed model is conceptual rather than tested.
Evidence
- Peer-reviewedKIRANA : Social Science Journal2026-10-20
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Truvace Impact Record TRV-2026-1995, v1: “Generative AI and Social Inequality in Education: A Human-Centered Social Science Review of Global and Indonesian Evidence.” Truvace, 2026-10-20. /record/TRV-2026-1995 (accessed at citation time). sha256 95ff899c3fe9367a…
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