SPEAKERS
 Jiaqi Chen | Junji Jiang |
DESCRIPTION
This panel addresses a critical geopolitical and educational divide: the role of the "Global Majority" (nations in Africa, Asia, Latin America, and the Caribbean) in the rapidly evolving landscape of Artificial Intelligence. As AI tools become ubiquitous in classrooms worldwide, there is a significant risk that developing nations will remain merely consumers of technology developed in the Global Minority. This session explores the dichotomy between passive consumption—using Western-trained models that may not reflect local cultural nuances or languages—and active creation, where local educators and developers build AI solutions tailored to their specific contexts.
The discussion will delve into the concept of "digital sovereignty" and data colonialism. If educational data from the Global Majority is used to train global models without compensation or local benefit, it perpetuates historical inequalities. Conversely, the panel will highlight initiatives where local communities are becoming creators, developing Large Language Models (LLMs) in indigenous languages or creating AI tutors that understand local pedagogical styles. By examining case studies of local innovation, the panel aims to chart a path toward a more equitable AI ecosystem where the Global Majority is not just a market for tech giants, but a primary architect of the future of education. The goal is to determine how policy and investment can shift the balance from consumption to creation.
This session is part of the UNU Macau AI Conference 2026.
To view the full program, please visit the program page.
To join the Conference, please visit the registration page.
AI × Education: AI for Learning, Learning for AI
Nov. 25-26, 2026 | Macau SAR, China
AI Conference 2026 | AI for SDGs - Global Youth AI Future Innovation Competition | AI × Education Workshops
