Data literacy and artificial intelligence – biases and limitations

Despite the many benefits of AI systems in education, it is important to understand their limitations to ensure responsible, fair, and effective application in educational contexts.

Limited understanding of context
AI-based systems cannot fully capture the complexity of the educational process, teacher-student relationships, or individual learning circumstances. The recommendations they generate may be technically accurate but pedagogically inadequate or too general, as they do not recognise motivation, emotional factors, or the social dynamics of learning.

Dependence on data quality
The effectiveness of AI in education largely depends on the quality, accuracy, and representativeness of the data used in analysis. If the data is biased, outdated, or incomplete, the systems may produce inaccurate interpretations, unfair assessments of engagement, or inappropriate learning recommendations. These shortcomings can lead to erroneous decisions by teachers and reduce student trust in the technology.

The need for human oversight
Even the most advanced AI systems cannot make all decisions in education independently. Human oversight is essential for interpreting results, validating conclusions, and assessing pedagogical justification. Teachers and professionals must ensure that algorithmic decisions align with ethical principles, curriculum goals, and student well-being.

Limited adaptability
While AI enables personalisation of content based on data analysis, it still cannot replace the pedagogical insight, empathy, and contextual understanding that teachers bring to the teaching process. Human intervention remains necessary to tailor learning to the real needs of individuals and groups.

Ethical and responsible development
The introduction of AI into education requires careful consideration of ethical and legal aspects, particularly regarding privacy, transparency, and equal access. Only responsibly developed and overseen systems can ensure that the technology contributes to a just, inclusive, and safe educational environment.