Today's students view artificial intelligence not as a technological curiosity, but as something inherent to their everyday lives. Much like previous generations that grew up with the internet and social media, today's children are becoming 'AI-native'—those who have been interacting with algorithms from a young age. However, access to this technology is not uniform, leading to disparities in understanding and skills related to AI.

In a recent article in The Guardian, a British primary school was highlighted where students learn to train their own AI models. In this setting, children observe the mistakes made by algorithms, correct them, and grasp the concept that AI does not operate magically but is based on specific rules and data. These hands-on experiences foster a deeper understanding of AI's functioning among students, but such educational opportunities remain rare.

Experts emphasize the urgency for systematic digital education on AI, warning that the lack of such programs can lead to widening gaps in knowledge and skills. As AI continues to shape various aspects of society, the risk is that unequal access to AI education could translate into lasting social inequalities, further dividing those with the resources to learn and those without. In this context, the challenge lies in ensuring equitable access to AI education for all students to prevent a new social divide based on technological proficiency.