AI in Education Takes Centre Stage at GAISA 2025

  • AI is revolutionizing education by personalizing learning and improving accessibility.

  • Experts discussed how AI bridges gaps in rural and multilingual education.

  • The session emphasized ethical AI deployment and future-ready teaching models.

 

The Global Artificial Intelligence Summit & Awards (GAISA) 2025 continued to serve as a platform for forward-thinking discussions with its enlightening session on “AI in Education,” held at Audi 2, Level 2. This session brought into focus how Artificial Intelligence is revolutionizing learning environments, especially by making education more inclusive, personalized, and efficient.

The keynote address titled “AI for Bridging Educational Gaps” was delivered by Vinesh Menon, Director General & CEO of ARISE. His address emphasized the transformative role of AI in addressing disparities in educational access, especially for rural and underprivileged communities. He highlighted the use of AI-powered translation tools that enable multilingual learning environments, making quality education more accessible across linguistic and regional boundaries.

Following the keynote, a dedicated session from 4:30 PM to 5:15 PM explored the theme “AI-Driven Learning Analytics to Assess Progress and Tailor Content.” Esteemed speakers including Dr. Bishwajoy Chatterjee (Vice Chancellor – UEM Jaipur), Mridu Andora (Founder & CEO – Genius Mentor), Manish Panjwani (CTO – Shriram Automal), and Paramdeep Singh (CEO – Shorthil AI), discussed the latest innovations in AI-based evaluation systems, personalized learning paths, and student engagement tools.

The panelists also addressed critical considerations such as ensuring data privacy and maintaining ethical standards while integrating AI into educational frameworks. Another key area of discussion was the evolving role of educators in an AI-supported ecosystem and the need for upskilling the education workforce to align with emerging technologies.

GAISA’s session on AI in Education concluded with a unified call to leverage AI not just for academic excellence, but also as a powerful equalizer capable of democratizing learning across socio-economic divides.