AI technology challenges human information literacy

Artificial intelligence models are prone to a phenomenon known as hallucination, where they generate factually incorrect, invented, or unverifiable information presented as truth. This occurs because modern language models operate based on statistical probabilities to predict the most likely next sequence of text rather than retrieving information from a structured database. Consequently, the AI does not intend to deceive but simply calculates the most plausible response to a prompt.

In the context of the modern knowledge society, the rise of AI-generated content emphasizes the need for human information literacy. While AI can summarize reports and analyze technical texts in seconds, experts like Guido Wieprecht from the European Institute for Learning Techniques (E-ILT) argue that humans must retain the ability to understand, question, and derive decisions from information. Relying solely on AI summaries risks missing critical nuances and context. Developing strategic reading skills remains essential to effectively navigate the increasing volume of information produced by both humans and machines.