ChatGPT is all you need to decolonize sub-Saharan Vocational Education
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Abstract (arXiv)
The advances of Generative AI models with interactive capabilities over the past few years offer unique opportunities for socioeconomic mobility. Their potential for scalability, accessibility, affordability, personalizing and convenience sets a first-class opportunity for poverty-stricken countries to adapt and modernize their educational order. As a result, this position paper makes the case for an educational policy framework that would succeed in this transformation by prioritizing vocational and technical training over academic education in sub-Saharan African countries. We highlight substantial applications of Large Language Models, tailor-made to their respective cultural background(s) and needs, that would reinforce their systemic decolonization. Lastly, we provide specific historical examples of diverse states successfully implementing such policies in the elementary steps of their socioeconomic transformation, in order to corroborate our proposal to sub-Saharan African countries to follow their lead.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 28 references that are in the map. First posted on arXiv 11 Apr 2023.
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7 of 28 references.
References · 7
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
- 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,585
- 2017Deep reinforcement learning from human preferencescited by 3,912
- 2022Code as Policies: Language Model Programs for Embodied Controlcited by 1,210
- 2020Jukebox: A Generative Model for Musiccited by 542
- 2022Phenaki: Variable Length Video Generation From Open Domain Textual Descriptioncited by 484
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