Artificial Intelligence in Schools: Why Fairness Remains a Goal, Not a Guarantee

Artificial intelligence technology is advancing rapidly within education systems, being increasingly woven into teaching, assessment, and classroom management activities. However, according to eSchool News, the enthusiasm surrounding these tools needs to be tempered by an important technical reality: large language models (LLMs) lack the common sense, moral compass, and nuanced understanding of group dynamics that an experienced teacher possesses.

What Algorithms Actually Lack

AI systems operate on statistical patterns learned from vast amounts of text, not on a genuine understanding of human situations. They can generate plausible-sounding responses, but they don't "know" who the student behind a request really is, what personal struggles they may be facing, or how their relationships with classmates have evolved over time. This absence of social context means automated decisions — whether related to content recommendations, grading, or disciplinary suggestions — can reproduce, or even amplify, inequalities that already exist within a classroom.

Fairness Is a Daily Practice, Not a Software Feature

The article points out that fairness cannot simply be "installed" through an algorithm — it must be built through sustained, day-to-day effort by teachers and institutions alike. This requires constant human oversight of how AI tools are used, careful checking of the results they generate, and adapting them to the reality of each classroom, which rarely matches perfectly the generic data used to train these models.

Recommendations for Schools

Experts cited by eSchool News recommend that educational institutions treat AI as a support tool rather than an autonomous decision-maker. It is essential for teachers to remain actively involved in interpreting the suggestions these systems provide, particularly when they concern students from vulnerable groups or socially and emotionally sensitive situations.

The article's conclusion is clear: while technology can streamline many administrative and educational processes, moral and pedagogical responsibility remains, fundamentally, a human one.