Artificial intelligence literacy in Somali education: balancing opportunities, risks, and policy directions
Frontiers in Artificial Intelligence 9
Abstract
Somalia’s education system continues to face severe constraints, including weak infrastructure, limited teacher support, and unequal access to learning resources. At the same time, generative artificial intelligence is increasingly entering educational practice through tools that can translate language, support writing, generate explanations, and extend tutoring beyond classroom hours. This Perspective argues that Somalia should respond neither by banning AI nor by adopting it without safeguards. Instead, AI literacy should be integrated as a foundational competency across secondary and tertiary education. Such an approach would help students use AI for language support, academic drafting, research planning, and personalized learning while also enabling them to identify hallucinations, bias, plagiarism risks, and privacy concerns. Drawing on a critical synthesis of recent peer-reviewed literature and policy documents, the article outlines the opportunities, risks, and implementation priorities for responsible AI adoption in Somalia. It shows that effective integration requires teacher professional development, curriculum revision, assessment reform, and clear ethical guidance. By combining opportunity with preparedness, Somalia can turn AI into a tool for educational inclusion and future readiness rather than a source of inequality or academic harm.
DOI / External Link
Publication Details
Authors
Ismail Mahad Hersi; Osman Elmi Omar; Abdinor Abukar Ahmed; Kowsar Osman Barre
Salaam University: Osman Elmi · Fellow
Published
11 September 2026
Journal
Frontiers in Artificial Intelligence 9
Indexed in
Scopus
Subject area
Computing, AI & Data ScienceCite this paper
Ismail Mahad Hersi; Osman Elmi Omar; Abdinor Abukar Ahmed; Kowsar Osman Barre. (2026). Artificial intelligence literacy in Somali education: balancing opportunities, risks, and policy directions. Frontiers in Artificial Intelligence 9. https://doi.org/10.3389/frai.2026.1925433
Related Publications
View all →The promise of productivity or a source of anxiety? Employees’ perspectives on GenAI and workplace outcomes
Abdifatah Rage · 2026
Machine learning prediction of gender-based violence among women in Somalia: a comparative analysis and SHAP interpretation
Mohamed Abdirahim · 2026
A Poisson-modified quasi-lindley regression approach for multicollinear data using Kibria–Lukman Estimator
Liban Ali · 2026