The use of artificial intelligence in education is developing rapidly, but the implementation of technologies remains extremely unsystematic. This was announced at DataFest Tbilisi by Alexey Sruraly, founder of the Estonian company SocialLab, which works in the field of innovation and education with AI. The conference brought together more than 1,000 experts from media, business and technology to discuss current trends and challenges.
According to 2024 data, 87% of schools use AI tools, but only 12% have comprehensive strategies. The remaining 75% act in a fragmented and reactive manner, without clear goals and understanding of the educational effect of technologies. The main problem is that most AI solutions were originally created to improve efficiency, not for educational purposes, and are poorly integrated into programs and assessment systems.
An additional tension is created by the gap between the tasks of teachers and the priorities of technology companies. Manufacturers focus on scalability and commercial performance, while schools need tools that support learning, the development of thinking and equal access for all students.
Experts believe that the solution is a structured approach based on three principles: focus on the curriculum, priority of equality and transparency of AI use. Step-by-step implementation — from pilot projects to scaling — will allow the use of technology as an auxiliary tool, while maintaining control by teachers.
Examples of successful practices were shown by the TUMO Center for Creative Technologies. Its program for teenagers is based on self-study, project work and mentoring without exams and grades. Progress is recorded through a portfolio of real projects, which reduces educational inequality and prepares for the professions of the future.
Experts warn that AI can exacerbate social and economic inequality if implemented without taking context into account. "AI will not replace humanity, but it can leave those who do not know how to work with it or critically evaluate it without work," said Ivana Bartoletti from Wipro.
The conclusion of the conference is a transition to inclusive and sustainable AI management based on values, transparency and cooperation between the state, business, media and society. Pilot projects, testing and documenting implementation stages will help reduce risks and understand which solutions really enhance education.