AI embedded bias on social platformsGorenc, Nina (Avtor) AI biassocial platformsalgorithmpredictive analyticsartificial intelligenceAIAI-based social platforms pervade our lives, filter the information we receive and influence our choices. Despite their significant role, the inner workings of these AI systems remain largely opaque to most users. We seem to implicitly trust the platforms and share personal information without much restraint, mistakenly viewing algorithms as neutral mathematical entities, and overlooking the potential harms AI systems can cause to individuals and the society. Young people, as the primary users of these platforms, believe their familiarity with the platforms is equivalent to their understanding of AI, whereas their behaviour often reveals the opposite. The present article challenges the perceived objectivity of algorithm-based AI systems on social platforms and probes into students’ ability to recognize AI embedded biases and to understand their impact on social learning. The study reviews relevant literature and analyses survey data gathered from the students of social sciences at the University of Ljubljana and Sapienza, the University of Rome. Our goal is to place the debate on AI in a broader contextual landscape of our daily life, and to emphasize the importance of recognizing the hidden biases of AI and actively working to mitigate them by making informed decisions and adjusting our behaviour.20252026-02-12 14:56:48Članek v reviji179398sl