Last of two parts
THE lecture began with a simple observation. Contemporary educational systems serve increasingly diverse learners. Students differ not only in socioeconomic circumstances but also in language, culture, religion, migration history, gender, physical abilities and cognitive profiles. Educational excellence can no longer be separated from inclusivity. An educational system that serves only some learners while neglecting others falls short of its mission.
Artificial intelligence (AI) has the potential to help address these challenges. But technology alone does not guarantee inclusion. In fact, if implemented carelessly, it may deepen existing inequalities and create new forms of exclusion.
For this reason, I proposed five guiding principles for AI-enabled diverse and inclusive education. First, purpose. Education remains fundamentally about forming persons and transforming societies. AI should be treated as a means rather than an end. Its value lies not in technological sophistication but in its ability to advance human flourishing. Second, universality. AI must serve the diversity of learners. Educational technologies should be designed with the needs of all learners in mind, particularly those who have historically been marginalized or underserved. Third is equity. AI should be used to dismantle exclusion rather than reinforce it. Its most valuable applications are those that expand opportunity, reduce barriers and promote educational justice. Fourth, agency. Artificial intelligence must strengthen rather than diminish human agency. Learners should remain active participants in their own learning, and educators should continue to exercise professional judgment, ethical discernment and pedagogical expertise. Finally, accountability. AI systems must be continuously monitored and evaluated to ensure that they remain aligned with educational values and responsive to learner needs. Transparency, ethical oversight and mechanisms for addressing harm are indispensable.
Underlying all these principles is a deeper concern that transcends technology itself. The challenge before us is ultimately not about artificial intelligence. It is about humanity.
The rise of AI compels us to reflect upon what kind of future we wish to create and what kind of human beings we hope education will form. We live in an age increasingly captivated by efficiency, optimization and automation. Yet education has always been about more than the transmission of information. It is equally concerned with wisdom, character, responsibility, relationships and the common good.
AI may help us teach more effectively. It may help us learn more efficiently. It may even help us solve some of the most persistent challenges facing educational systems. But it cannot replace the fundamentally human dimensions of education. It cannot substitute for compassion, moral judgment, or the relationships that enable individuals and communities to flourish.
The question, therefore, is not whether education will be transformed by artificial intelligence. That transformation is already under way. The more important question is whether artificial intelligence will help us build educational systems that are more humane, more just and more responsive to the richness of human diversity. If it does, then AI will represent not merely a technological achievement but a genuine instrument of human flourishing.
For when all the technologies of our age have been weighed and measured, the dignity of every human person and the right of every individual to education must remain our highest and most enduring commitments. And as someone who studies the language experiences of migrants, I am reminded that every language, accent and voice carries a human story. The ultimate test of artificial intelligence in education is therefore not how intelligently machines can speak, but how effectively they help us listen to, understand and include one another.
The inaugural lecture of The Mapúa Co-Intelligence Lecture Series was delivered on June 15, 2026, at 1 p.m., at the Global Classroom of the Mapúa University Makati Campus. Last week’s column drew upon the first part of the lecture, while today’s column turns to its second part.
Ariane Macalinga Borlongan is a public intellectual, language scholar and migrant advocate. He is one of the leading researchers on English in the Philippines and one of the pioneers of migration linguistics. He is the youngest to earn a doctorate in linguistics, at age 23, from De La Salle University, and has had several teaching and research positions in Germany, Japan, Malaysia, the Philippines, Poland and Singapore. He is currently associate professor of sociolinguistics at the Tokyo University of Foreign Studies.