A recent high‑level discussion in India highlighted the need to rethink education systems to better integrate artificial intelligence and ensure equitable, scalable learning outcomes. Leaders from philanthropy, edtech, academia, and industry emphasised that AI should be embedded meaningfully into education systems rather than implemented as isolated pilot projects.
Speakers called for moving away from traditional “one‑size‑fits‑all” instruction toward personalised, mastery‑based learning. AI can support education by offering personalised instruction, aiding teachers, providing diagnostics and assessment tools, and enabling learning beyond the classroom.
Participants stressed that technology alone is not enough. Effective integration requires alignment with learning science, inclusion safeguards, and outcome‑based evaluation. Collaboration among governments, innovators, researchers, funders, and industry is critical to scale AI tools to benefit all learners, particularly in low‑resource and multilingual settings.
The discussion also highlighted the importance of long‑term support and risk‑taking in early innovations. Building institutional capacity and generating evidence over time are seen as essential to using AI responsibly in classrooms and communities, ensuring that advances translate into meaningful learning improvements.
