AI is entering classrooms around the world with a simple promise — more technology means better learning. This research asks the question that comes before that promise: what do we actually mean by quality education, and whose wellbeing is it for?
Without a governance framework grounded in both human and ecological wellbeing, AI risks producing graduates optimized for a world that sustainability science tells us is no longer viable. The youth most affected — in rural Africa, in diaspora communities, in under-resourced urban environments — are precisely those least consulted in decisions about how AI will shape their education.
Drawing on transdisciplinary leadership, critical pedagogy, sustainability science, and indigenous knowledge traditions, this research develops a Balanced Management Framework — one that holds efficiency and sufficiency, technological innovation and human wisdom in accountable tension. The goal is not to determine whether AI belongs in education, but to establish the conditions under which it can serve — rather than undermine — the next generation.
LaSal Advisory & Consulting
Illuminate.
Preserve. Transform.
Sustainability Policy · Green Economy · AI Advisory
LaSal offers advisory in sustainability policy, green economy transitions, and AI governance — drawing on 18 years of experience across international institutions, governments, and communities.
Policy & Green Economy
AI Governance
Capacity Building
Transdisciplinary Leadership
Washington DC
Misgana Elias Kallore
Principal & Founder