At the AI Innovation Summit 2025, Canarie CEO Chakrit Ritthakananon took the stage for a panel discussion on "Next Stage for AI in Education", alongside Akkarit Sangpetch, Director of the AI Engineering Institute at CMKL University, and experts from Chiang Mai University and King Mongkut's University of Technology Thonburi.
The panel brought together perspectives from universities, research and a student-founded startup to tackle one big question: now that AI can answer almost anything, what should education look like?
One of the first ideas the panel explored was AI as an equalizer. For a long time, personalized learning, such as a private tutor who adapts to how you learn, has been available mainly to students with significant resources. AI has the potential to change that, giving far more students access to the kind of one-on-one support that used to be out of reach. It's a goal that sits at the very heart of Canarie.
The panelists agreed that critical thinking is now the most essential skill for students. When AI can generate an answer in seconds, the answer itself is no longer the hard part. What matters is whether students can judge it, verify it and understand the foundations behind it, rather than relying on it without thinking. This is exactly why Canarie's philosophy is Guidance Over Answers: we build AI that helps students reason their way to a solution, not AI that simply hands it to them.
Canarie's Guidance Over Answers philosophy on stage at the AI Innovation Summit 2025
The discussion also turned to how learning itself is structured. CMKL University shared its approach to competency-based learning, which breaks subjects down into specific skills. Instead of only following traditional lectures, students master each competency and apply it in hands-on projects, so they build real, demonstrable ability rather than just completing a syllabus.
Even as AI grows more capable, the panel was clear that human expertise still matters. Faculty bring the domain knowledge and guidance needed to push ideas beyond what a large language model can produce on its own. AI can support teachers, but it can't replace the judgment and experience they bring to their students.
Finally, the panel looked at what this means for Thailand. Rather than trying to compete in the "scaling law" race, which depends on massive computing power, Thailand has an opportunity to focus on developing human talent, encouraging experimental approaches and creating new, smarter AI techniques. Investing in people, the panel argued, is where Thailand can lead.
For Canarie, sharing the stage with leaders from Thailand's universities and research institutes was a proud moment. It was also a reminder that the questions we think about every day, like how AI can support learning without replacing thinking, are the same ones shaping the future of education across the country.
You can watch the full panel discussion in the video above.
Thank you to CMKL University and the AI Engineering Institute for inviting Canarie to be part of this conversation.