Is artificial intelligence reliable? Can it make up information without us realizing it? This second session in the “What If AI?” series sheds light on the phenomenon of AI “hallucinations”—errors that can sometimes seem credible and may have significant consequences, particularly in professional settings.

Drawing on real-world examples, such as reports containing false references, the speakers will explain why these errors occur, what their technical causes are, and how to detect them. An interactive activity will invite the audience to distinguish between true and false information in AI-generated responses, while exploring the limitations of solutions such as prompt engineering.

The goal: to develop a critical perspective on AI responses and gain a better understanding of its limitations.